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DenseNet_Model.json
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DenseNet_Model.json
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{"class_name": "Functional", "config": {"name": "model", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 224, 224, 3], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_1"}, "name": "input_1", "inbound_nodes": []}, {"class_name": "ZeroPadding2D", "config": {"name": "zero_padding2d", "trainable": true, "dtype": "float32", "padding": [[3, 3], [3, 3]], "data_format": "channels_last"}, "name": "zero_padding2d", "inbound_nodes": [[["input_1", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "conv1/conv", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": [7, 7], "strides": [2, 2], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, 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