kk_contour_net_shallow/thesis code/shallow net/config.json
katharinakorb f7e931ba3d
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{
"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": 0, // (4)
"train_first_layer": false, // 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": false,
// 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": "Natural",
"scale_data": 255.0, // (255.0)
"conv_out_channels_list": [
[
32,
8,
8
]
],
"conv_kernel_sizes": [
[
7,
15
]
],
"conv_stride_sizes": [
1
]
}