params.json

{
  "preprocess":{
    "cmt":"params related to preprocessing",
    "BASE":"images_data/",
    "n_types":4,
    "FIST":"images_data/fist/",
    "HAND":"images_data/hand/",
    "ONE":"images_data/one/",
    "PEACE":"images_data/peace/",
    "NONE":"images_data/none/",
    "train":0.7,
    "test":0.2,
    "validation":0.1

  },

  "input_dim":{ "val":[50,50], "cmt":"input image dimension row X cols this can't be changed" },
  "n_padding_bits":{"val":0, "cmt":"number of padding layers, can be changed the image is padded with 0"},
  "n_filter_layer_1":{"val":32, "cmt":"number of filters in cnn layer 1, dynamic"},
  "filter_size_layer_1":{"val":[3,3], "cmt":"dimension of filter in layer 1, by default 7x7 can be changed "},
  "filter_stride":{"val":1, "cmt":"moving stride try keeping it fix, but if wished to change then make sure that the conv operation output should have the integral dimension using the formula"},
  "mean":0,
  "std":0.1,
  "pooling_stride_layer_1":{"val":2,"cmt":"if changed make sure of the dimension"},
  "pooling_filter_size_layer_1":{"val":[2,2],"cmt":"pooling size, change it if sure of dimensions"},
  "n_filter_layer_2":{"val":64,"cmt":"can be changed"},
  "filter_size_layer_2":{"val":[5,5],"cmt":"#filters in layer 2 can be changed"},
  "pooling_stride_layer_2":{"val":2},
  "pooling_filter_size_layer_2":{"val":[2,2]},
  "n_hidden_layers":{"val":2, "cmt":"can't be changed"},
  "n_nodes_hidden_layer_1":{"val":1800,"cmt":"can be changed currently half of the input"},
  "n_nodes_hidden_layer_2":{"val":900,"cmt":"can be changed, currently half of the previous layer"},
  "dropout_percent_layer_1":{"val":0.2, "cmt":"dropout percentage of layer 1 i.e nodes in hidden layer"},
  "dropout_percent_layer_2":{"val":0.25, "cmt":"dropout percentage of layer 2 i.e nodes in hidden layer 2"},
  "output_classes":{"val":4},
  "batch_size":300,
  "method":"TNC",
  "pool_size":300,
  "n_epochs":30,
  "learning_rate":1e-5,
  "epsilon":1e-7

}