denoising / model_unet.json
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{"class_name": "Model", "config": {"name": "model_2", "layers": [{"name": "input_3", "class_name": "InputLayer", "config": {"batch_input_shape": [null, 128, 128, 1], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_3"}, "inbound_nodes": []}, {"name": "conv2d_48", "class_name": "Conv2D", "config": {"name": "conv2d_48", "trainable": true, "dtype": "float32", "filters": 16, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 2.0, "mode": "fan_in", "distribution": "truncated_normal", "seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["input_3", 0, 0, {}]]]}, {"name": 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