{ // Convolution layer ---------------------------------------------------------
    "conv_out_channel": [
        32,
        8,
        8
    ],
    "conv_kernel_size": [
        11,
        11,
        11
    ],
    "conv_stride_size": [
        1,
        1,
        1
    ],
    "conv_bias": [ // Warning: One more for the output layer
        true,
        true,
        true,
        true
    ],
    "conv_padding": [
        0,
        0,
        0
    ],
    // Activation function -----------------------------------------------------
    "activation_function": "leaky relu", // tanh, relu, (leaky relu), none
    "l_relu_negative_slope": 0.1, // (0.1)
    // Pooling layer -----------------------------------------------------------
    "pooling_kernel_size": [
        5,
        5,
        5
    ],
    "pooling_stride": [
        2,
        2,
        2
    ],
    "pooling_type": "max", // (max), average, none
    // Softmax layer -----------------------------------------------------------
    "softmax_enable": [
        false,
        false,
        false
    ],
    "softmax_power": 0.0, // (0.0) = Exp
    "softmax_meanmode": true, // true, false
    "softmax_no_input_mode": false, // true, (false)
    // Load pre-trained weights and biases -------------------------------------
    "path_pretrained_weights_bias": "",
    "train_weights": [ // Warning: One more for the output layer
        true,
        true,
        true,
        true
    ],
    "train_bias": [ // Warning: One more for the output layer
        true,
        true,
        true,
        true
    ],
    // Output layer ------------------------------------------------------------
    "number_of_classes": 2
}