kk_contour_net_shallow/Classic_contour_net_shallow/config.json

{
    "data_path": "/home/kk/Documents/Semester4/code/RenderStimuli/Output/",
    "save_logging_messages": true, // (true), false
    "display_logging_messages": true, // (true), false
    "batch_size_train": 500,
    "batch_size_test": 250,
    "max_epochs": 2000,
    "save_model": true,
    "conv_0_kernel_size": 11,
    "mp_1_kernel_size": 3,
    "mp_1_stride": 2,
    "use_plot_intermediate": true, // true, (false)
    "stimuli_per_pfinkel": 10000,
    "num_pfinkel_start": 0,
    "num_pfinkel_stop": 100,
    "num_pfinkel_step": 10,
    "precision_100_percent": 4, // (4)
    "train_first_layer": true, // true, (false)
    "save_ever_x_epochs": 10, // (10)
    "activation_function": "leaky relu", // tanh, relu, (leaky relu), none
    "leak_relu_negative_slope": 0.1, // (0.1)
    "switch_leakyR_to_relu": true,
    // LR Scheduler ->
    "use_scheduler": true, // (true), false
    "scheduler_verbose": true,
    "scheduler_factor": 0.1, //(0.1)
    "scheduler_patience": 10, // (10)
    "scheduler_threshold": 1e-5, // (1e-4)
    "minimum_learning_rate": 1e-8,
    "learning_rate": 0.0001,
    // <- LR Scheduler
    "pooling_type": "max", // (max), average, none
    "conv_0_enable_softmax": false, // true, (false)
    "use_adam": true, // (true) => adam, false => SGD
    "condition": "Coignless",
    "scale_data": 255.0, // (255.0),
    "conv_out_channels_list": [
        [
            32,
            8,
            8
        ],  
        [
            8,
            8,
            8
        ], 
        [
            6,
            8,
            8
        ], 
        [
            4,
            8,
            8
        ], 
        [
            3,
            8,
            8
        ], 
        [
            2,
            8,
            8
        ], 
        [
            1,
            8,
            8
        ]  
    ],
    "conv_kernel_sizes": [
        [
            7,
            15
        ]
    ],
    "conv_stride_sizes": [
        1
    ]
}