best_model_architecture.json

{"class_name": "Model", "keras_version": "1.2.2", "config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 1920, 1920, 3], "input_dtype": "float32", "sparse": false, "name": "input_2"}, "inbound_nodes": [], "name": "input_2"}, {"class_name": "Convolution2D", "config": {"W_constraint": {"m": 4, "name": "MaxNorm", "axis": 0}, "b_constraint": null, "name": "convolution2d_28", "activity_regularizer": null, "trainable": true, "dim_ordering": "tf", "nb_col": 7, "subsample": [2, 2], "init": "he_uniform", "bias": true, "nb_filter": 8, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 0.0010000000474974513, "name": "L1L2Regularizer", "l1": 0.0}, "activation": "linear", "nb_row": 7}, "inbound_nodes": [[["input_2", 0, 0]]], "name": "convolution2d_28"}, {"class_name": "BatchNormalization", "config": {"gamma_regularizer": null, "name": "batchnormalization_28", "epsilon": 0.001, "trainable": true, "mode": 0, "beta_regularizer": null, "momentum": 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"name": "dropout_23"}, {"class_name": "Convolution2D", "config": {"W_constraint": {"m": 4, "name": "MaxNorm", "axis": 0}, "b_constraint": null, "name": "convolution2d_31", "activity_regularizer": null, "trainable": true, "dim_ordering": "tf", "nb_col": 3, "subsample": [1, 1], "init": "he_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 0.0010000000474974513, "name": "L1L2Regularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["dropout_23", 0, 0]]], "name": "convolution2d_31"}, {"class_name": "Convolution2D", "config": {"W_constraint": {"m": 4, "name": "MaxNorm", "axis": 0}, "b_constraint": null, "name": "convolution2d_39", "activity_regularizer": null, "trainable": true, "dim_ordering": "tf", "nb_col": 3, "subsample": [1, 1], "init": "he_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 0.0010000000474974513, "name": "L1L2Regularizer", 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