No. of Epoch |
(0 – 127) |
Batch Size |
(0 – 256) |
No. of Convolution Layers |
(0 – 8) |
No. of Filters at each Convo layer |
(0 – 64) |
Convo Filter Size at each Convo layer |
(0 – 8) |
Activations used at each Convo layer |
(sigmoid, tanh, relu, linear) |
Maxpool layer after each Convo layer |
(true, false) |
Maxpool Pool Size for each Maxpool layer |
(0 – 8) |
No. of Feed-Forward Hidden Layers |
(0 – 8) |
No. of Feed-Forward Hidden Neurons at each layer |
(0 – 64) |
Activations used at each Feed-Forward layer |
(sigmoid, tanh, softmax, relu) |
Optimizer |
(Adagrad, Adadelta, RMS, SGD) |