NeuralNetwork - compatibility matrix

This report was generated on Wednesday, 23-Feb-22 22:48:15 CET using arduino-testlib.

NeuralNetwork

Version: 1.8.1
More details

Compatibility matrix

Board Claims compatibility Inclusion
Backpropagation_double_Xor
FeedForward_Individual_MNIST_PROGMEM
FeedForward_double_Xor
FeedForward_double_Xor_PROGMEM
Run_In_Loop
Any_Activation_Function_Per_Layer
Backpropagation_Single_Xor
arduino:avr:uno
1.8.4
Yes PASS PASS PASS PASS PASS PASS PASS PASS
arduino:mbed_nano:nanorp2040connect
2.7.2
Yes PASS FAIL FAIL FAIL FAIL PASS FAIL FAIL
arduino:megaavr:nona4809
1.8.7
Yes PASS FAIL PASS PASS PASS PASS FAIL FAIL
arduino:samd:mkrwifi1010
1.8.12
Yes PASS FAIL FAIL FAIL FAIL PASS FAIL FAIL
esp32:esp32:d1_mini32
1.0.6
Yes PASS PASS FAIL FAIL FAIL PASS FAIL PASS

Compilation logs

arduino:avr:uno @ 1.8.4

Inclusion

Result: PASS

Sketch uses 1332 bytes (4%) of program storage space. Maximum is 32256 bytes.
Global variables use 184 bytes (8%) of dynamic memory, leaving 1864 bytes for local variables. Maximum is 2048 bytes.
In file included from /tmp/arduino-testlib3402338757/test/test.ino:1:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

examples/Any_Activation_Function_Per_Layer

Result: PASS

Sketch uses 8462 bytes (26%) of program storage space. Maximum is 32256 bytes.
Global variables use 398 bytes (19%) of dynamic memory, leaving 1650 bytes for local variables. Maximum is 2048 bytes.
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Any_Activation_Function_Per_Layer/Any_Activation_Function_Per_Layer.ino:8:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
[Ζ’x] |β€£ Sigmoid |β€£ Tanh |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

examples/Backpropagation_Single_Xor

Result: PASS

Sketch uses 8316 bytes (25%) of program storage space. Maximum is 32256 bytes.
Global variables use 324 bytes (15%) of dynamic memory, leaving 1724 bytes for local variables. Maximum is 2048 bytes.
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_Single_Xor/Backpropagation_Single_Xor.ino:7:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
[Ζ’x] |β€£ Sigmoid |β€£ SELU |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

examples/Backpropagation_double_Xor

Result: PASS

Sketch uses 8278 bytes (25%) of program storage space. Maximum is 32256 bytes.
Global variables use 404 bytes (19%) of dynamic memory, leaving 1644 bytes for local variables. Maximum is 2048 bytes.
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_double_Xor/Backpropagation_double_Xor.ino:5:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
[Ζ’x] |β€£ Sigmoid |β€£ Tanh |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

examples/FeedForward_Individual_MNIST_PROGMEM

Result: PASS

Sketch uses 30242 bytes (93%) of program storage space. Maximum is 32256 bytes.
Global variables use 242 bytes (11%) of dynamic memory, leaving 1806 bytes for local variables. Maximum is 2048 bytes.
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

examples/FeedForward_double_Xor

Result: PASS

Sketch uses 6318 bytes (19%) of program storage space. Maximum is 32256 bytes.
Global variables use 822 bytes (40%) of dynamic memory, leaving 1226 bytes for local variables. Maximum is 2048 bytes.
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

examples/FeedForward_double_Xor_PROGMEM

Result: PASS

Sketch uses 6324 bytes (19%) of program storage space. Maximum is 32256 bytes.
Global variables use 344 bytes (16%) of dynamic memory, leaving 1704 bytes for local variables. Maximum is 2048 bytes.
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

examples/Run_In_Loop

Result: PASS

Sketch uses 10054 bytes (31%) of program storage space. Maximum is 32256 bytes.
Global variables use 340 bytes (16%) of dynamic memory, leaving 1708 bytes for local variables. Maximum is 2048 bytes.
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Run_In_Loop/Run_In_Loop.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
[Ζ’x] |β€£ Sigmoid |β€£ SELU |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

arduino:mbed_nano:nanorp2040connect @ 2.7.2

Inclusion

Result: PASS

Sketch uses 78756 bytes (0%) of program storage space. Maximum is 16777216 bytes.
Global variables use 43444 bytes (16%) of dynamic memory, leaving 226892 bytes for local variables. Maximum is 270336 bytes.
In file included from /tmp/arduino-testlib692438999/test/test.ino:1:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

examples/Any_Activation_Function_Per_Layer

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Any_Activation_Function_Per_Layer/Any_Activation_Function_Per_Layer.ino:8:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |β€£ Tanh |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Any_Activation_Function_Per_Layer/Any_Activation_Function_Per_Layer.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Any_Activation_Function_Per_Layer/Any_Activation_Function_Per_Layer.ino:44:23: error: 'class NeuralNetwork' has no member named 'MeanSqrdError'; did you mean 'getMeanSqrdError'?
     Serial.println(NN.MeanSqrdError,6);
                       ^~~~~~~~~~~~~
                       getMeanSqrdError

examples/Backpropagation_Single_Xor

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_Single_Xor/Backpropagation_Single_Xor.ino:7:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |β€£ SELU |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_Single_Xor/Backpropagation_Single_Xor.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_Single_Xor/Backpropagation_Single_Xor.ino:36:23: error: 'class NeuralNetwork' has no member named 'MeanSqrdError'; did you mean 'getMeanSqrdError'?
     Serial.println(NN.MeanSqrdError,6);
                       ^~~~~~~~~~~~~
                       getMeanSqrdError

examples/Backpropagation_double_Xor

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_double_Xor/Backpropagation_double_Xor.ino:5:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |β€£ Tanh |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_double_Xor/Backpropagation_double_Xor.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_double_Xor/Backpropagation_double_Xor.ino:38:23: error: 'class NeuralNetwork' has no member named 'MeanSqrdError'; did you mean 'getMeanSqrdError'?
     Serial.println(NN.MeanSqrdError,6);
                       ^~~~~~~~~~~~~
                       getMeanSqrdError

examples/FeedForward_Individual_MNIST_PROGMEM

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino:102:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 2 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^~~~~~~~~~~~~
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino:102:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 3 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^~~~~~~~~~~~~

examples/FeedForward_double_Xor

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino:61:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 2 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^~~~~~~~~~~~~
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino:61:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 3 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^~~~~~~~~~~~~

examples/FeedForward_double_Xor_PROGMEM

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino:61:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 2 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^~~~~~~~~~~~~
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino:61:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 3 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^~~~~~~~~~~~~

examples/Run_In_Loop

Result: PASS

Sketch uses 86612 bytes (0%) of program storage space. Maximum is 16777216 bytes.
Global variables use 43460 bytes (16%) of dynamic memory, leaving 226876 bytes for local variables. Maximum is 270336 bytes.
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Run_In_Loop/Run_In_Loop.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
[Ζ’x] |β€£ Sigmoid |β€£ SELU |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

arduino:megaavr:nona4809 @ 1.8.7

Inclusion

Result: PASS

Sketch uses 2614 bytes (5%) of program storage space. Maximum is 49152 bytes.
Global variables use 177 bytes (2%) of dynamic memory, leaving 5967 bytes for local variables. Maximum is 6144 bytes.
In file included from /tmp/arduino-testlib692438999/test/test.ino:1:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

examples/Any_Activation_Function_Per_Layer

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Any_Activation_Function_Per_Layer/Any_Activation_Function_Per_Layer.ino:8:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |β€£ Tanh |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Any_Activation_Function_Per_Layer/Any_Activation_Function_Per_Layer.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Any_Activation_Function_Per_Layer/Any_Activation_Function_Per_Layer.ino:44:23: error: 'class NeuralNetwork' has no member named 'MeanSqrdError'; did you mean 'getMeanSqrdError'?
     Serial.println(NN.MeanSqrdError,6);
                       ^~~~~~~~~~~~~
                       getMeanSqrdError

examples/Backpropagation_Single_Xor

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_Single_Xor/Backpropagation_Single_Xor.ino:7:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |β€£ SELU |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_Single_Xor/Backpropagation_Single_Xor.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_Single_Xor/Backpropagation_Single_Xor.ino:36:23: error: 'class NeuralNetwork' has no member named 'MeanSqrdError'; did you mean 'getMeanSqrdError'?
     Serial.println(NN.MeanSqrdError,6);
                       ^~~~~~~~~~~~~
                       getMeanSqrdError

examples/Backpropagation_double_Xor

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_double_Xor/Backpropagation_double_Xor.ino:5:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |β€£ Tanh |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_double_Xor/Backpropagation_double_Xor.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_double_Xor/Backpropagation_double_Xor.ino:38:23: error: 'class NeuralNetwork' has no member named 'MeanSqrdError'; did you mean 'getMeanSqrdError'?
     Serial.println(NN.MeanSqrdError,6);
                       ^~~~~~~~~~~~~
                       getMeanSqrdError

examples/FeedForward_Individual_MNIST_PROGMEM

Result: PASS

Sketch uses 32733 bytes (66%) of program storage space. Maximum is 49152 bytes.
Global variables use 193 bytes (3%) of dynamic memory, leaving 5951 bytes for local variables. Maximum is 6144 bytes.
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

examples/FeedForward_double_Xor

Result: PASS

Sketch uses 7404 bytes (15%) of program storage space. Maximum is 49152 bytes.
Global variables use 189 bytes (3%) of dynamic memory, leaving 5955 bytes for local variables. Maximum is 6144 bytes.
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

examples/FeedForward_double_Xor_PROGMEM

Result: PASS

Sketch uses 7404 bytes (15%) of program storage space. Maximum is 49152 bytes.
Global variables use 189 bytes (3%) of dynamic memory, leaving 5955 bytes for local variables. Maximum is 6144 bytes.
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

examples/Run_In_Loop

Result: PASS

Sketch uses 12284 bytes (24%) of program storage space. Maximum is 49152 bytes.
Global variables use 203 bytes (3%) of dynamic memory, leaving 5941 bytes for local variables. Maximum is 6144 bytes.
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Run_In_Loop/Run_In_Loop.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
[Ζ’x] |β€£ Sigmoid |β€£ SELU |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

arduino:samd:mkrwifi1010 @ 1.8.12

Inclusion

Result: PASS

Sketch uses 12152 bytes (4%) of program storage space. Maximum is 262144 bytes.
Global variables use 2996 bytes (9%) of dynamic memory, leaving 29772 bytes for local variables. Maximum is 32768 bytes.
In file included from /tmp/arduino-testlib3402338757/test/test.ino:1:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

examples/Any_Activation_Function_Per_Layer

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Any_Activation_Function_Per_Layer/Any_Activation_Function_Per_Layer.ino:8:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |β€£ Tanh |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Any_Activation_Function_Per_Layer/Any_Activation_Function_Per_Layer.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Any_Activation_Function_Per_Layer/Any_Activation_Function_Per_Layer.ino:44:23: error: 'class NeuralNetwork' has no member named 'MeanSqrdError'; did you mean 'getMeanSqrdError'?
     Serial.println(NN.MeanSqrdError,6);
                       ^~~~~~~~~~~~~
                       getMeanSqrdError

examples/Backpropagation_Single_Xor

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_Single_Xor/Backpropagation_Single_Xor.ino:7:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |β€£ SELU |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_Single_Xor/Backpropagation_Single_Xor.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_Single_Xor/Backpropagation_Single_Xor.ino:36:23: error: 'class NeuralNetwork' has no member named 'MeanSqrdError'; did you mean 'getMeanSqrdError'?
     Serial.println(NN.MeanSqrdError,6);
                       ^~~~~~~~~~~~~
                       getMeanSqrdError

examples/Backpropagation_double_Xor

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_double_Xor/Backpropagation_double_Xor.ino:5:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |β€£ Tanh |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_double_Xor/Backpropagation_double_Xor.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_double_Xor/Backpropagation_double_Xor.ino:38:23: error: 'class NeuralNetwork' has no member named 'MeanSqrdError'; did you mean 'getMeanSqrdError'?
     Serial.println(NN.MeanSqrdError,6);
                       ^~~~~~~~~~~~~
                       getMeanSqrdError

examples/FeedForward_Individual_MNIST_PROGMEM

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino:102:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 2 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^~~~~~~~~~~~~
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino:102:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 3 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^~~~~~~~~~~~~

examples/FeedForward_double_Xor

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino:61:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 2 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^~~~~~~~~~~~~
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino:61:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 3 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^~~~~~~~~~~~~

examples/FeedForward_double_Xor_PROGMEM

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00001000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Always Enabled not switchable yet." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino:61:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 2 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^~~~~~~~~~~~~
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino:61:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 3 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^~~~~~~~~~~~~

examples/Run_In_Loop

Result: PASS

Sketch uses 37740 bytes (14%) of program storage space. Maximum is 262144 bytes.
Global variables use 3380 bytes (10%) of dynamic memory, leaving 29388 bytes for local variables. Maximum is 32768 bytes.
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Run_In_Loop/Run_In_Loop.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
[Ζ’x] |β€£ Sigmoid |β€£ SELU |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

esp32:esp32:d1_mini32 @ 1.0.6

Inclusion

Result: PASS

Sketch uses 200758 bytes (15%) of program storage space. Maximum is 1310720 bytes.
Global variables use 13184 bytes (4%) of dynamic memory, leaving 314496 bytes for local variables. Maximum is 327680 bytes.
In file included from /tmp/arduino-testlib3301339117/test/test.ino:1:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

examples/Any_Activation_Function_Per_Layer

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Any_Activation_Function_Per_Layer/Any_Activation_Function_Per_Layer.ino:8:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
[Ζ’x] |β€£ Sigmoid |β€£ Tanh |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:444:9: error: 'activation_Function_ptrs' declared as an 'inline' field
         };
         ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:444:9: error: 'constexpr' needed for in-class initialization of static data member 'float (NeuralNetwork::Layer::* const NeuralNetwork::activation_Function_ptrs [2])(const float&)' of non-integral type [-fpermissive]
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:471:13: error: 'derivative_Function_ptrs' declared as an 'inline' field
             };
             ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:471:13: error: 'constexpr' needed for in-class initialization of static data member 'float (NeuralNetwork::Layer::* const NeuralNetwork::derivative_Function_ptrs [2])(const float&)' of non-integral type [-fpermissive]

examples/Backpropagation_Single_Xor

Result: PASS

Sketch uses 210134 bytes (16%) of program storage space. Maximum is 1310720 bytes.
Global variables use 13416 bytes (4%) of dynamic memory, leaving 314264 bytes for local variables. Maximum is 327680 bytes.
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_Single_Xor/Backpropagation_Single_Xor.ino:7:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
[Ζ’x] |β€£ Sigmoid |β€£ SELU |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

examples/Backpropagation_double_Xor

Result: PASS

Sketch uses 210154 bytes (16%) of program storage space. Maximum is 1310720 bytes.
Global variables use 13416 bytes (4%) of dynamic memory, leaving 314264 bytes for local variables. Maximum is 327680 bytes.
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Backpropagation_double_Xor/Backpropagation_double_Xor.ino:5:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
[Ζ’x] |β€£ Sigmoid |β€£ Tanh |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^

examples/FeedForward_Individual_MNIST_PROGMEM

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00000100 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Be careful with multiple NN objects." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino:102:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 2 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino:102:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_Individual_MNIST_PROGMEM/FeedForward_Individual_MNIST_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 3 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^

examples/FeedForward_double_Xor

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino:61:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 2 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino:61:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor/FeedForward_double_Xor.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 3 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^

examples/FeedForward_double_Xor_PROGMEM

Result: FAIL

In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
βŒ₯β–Œ"B10000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (USE_PROGMEM)." 
βŒ₯β–Œ"B01000000 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] Backpropagation is not Allowed with (REDUCE_RAM_DELETE_OUTPUTS)." 
βŒ₯β–Œ"B00000010 [⚠] [π—₯𝗲𝗺𝗢𝗻𝗱𝗲𝗿] MSE is disabled (DISABLE_MSE) (DEFAULT_LOSS)" 
[Ζ’x] |β€£ Sigmoid |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino: In function 'void setup()':
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino:61:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 2 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino:61:61: error: invalid conversion from 'const float*' to 'float*' [-fpermissive]
   NeuralNetwork NN(layers, weights, biases, NumberOf(layers)); // Creating a NeuralNetwork with pretrained Weights and Biases
                                                             ^
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/FeedForward_double_Xor_PROGMEM/FeedForward_double_Xor_PROGMEM.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:611:5: note:   initializing argument 3 of 'NeuralNetwork::NeuralNetwork(const unsigned int*, float*, float*, const unsigned int&, byte*)'
     NeuralNetwork::NeuralNetwork(const unsigned int *layer_, float *default_Weights, float *default_Bias, const unsigned int &NumberOflayers, byte *_ActFunctionPerLayer )
     ^

examples/Run_In_Loop

Result: PASS

Sketch uses 211278 bytes (16%) of program storage space. Maximum is 1310720 bytes.
Global variables use 13432 bytes (4%) of dynamic memory, leaving 314248 bytes for local variables. Maximum is 327680 bytes.
In file included from /home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/examples/Run_In_Loop/Run_In_Loop.ino:4:0:
/home/ec2-user/arduino-testlib/cli-datadir/user/libraries/NeuralNetwork/src/NeuralNetwork.h:303:35: note: #pragma message: 
❀ π–€π–“π–ˆπ–”π–“π–‰π–Žπ–™π–Žπ–”π–“π–†π–‘ π•·π–”π–›π–Š ❀ 
[Ζ’x] |β€£ Sigmoid |β€£ SELU |βŒ₯|
 #pragma message( STR(INFORMATION) )
                                   ^