{
    "model_type": "cnn",
    "input_shape": [128, 128, 1],
    "num_classes": 2,
    "layers": [
        {
            "type": "Conv2D",
            "filters": 128,
            "kernel_size": [5, 5],
            "padding": "same",
            "strides": [1, 1],
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        {
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        },
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            "padding":