localizing.json

{"class_name": "Model", "keras_version": "1.0.7", "config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 3, 596, 596], "name": "input_1", "input_dtype": "float32"}, "inbound_nodes": [], "name": "input_1"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "c1", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 5, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": null, "activation": "relu", "nb_row": 5}, "inbound_nodes": [[["input_1", 0, 0]]], "name": "c1"}, {"class_name": "MaxPooling2D", "config": {"name": "maxpooling2d_1", "trainable": true, "dim_ordering": "th", "pool_size": [2, 2], "strides": [2, 2], "border_mode": "same"}, "inbound_nodes": [[["c1", 0, 0]]], "name": "maxpooling2d_1"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "c2", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 5, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": null, "activation": "relu", "nb_row": 5}, "inbound_nodes": [[["maxpooling2d_1", 0, 0]]], "name": "c2"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "c3", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 5, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": null, "activation": "relu", "nb_row": 5}, "inbound_nodes": [[["c2", 0, 0]]], "name": "c3"}, {"class_name": "MaxPooling2D", "config": {"name": "maxpooling2d_2", "trainable": true, "dim_ordering": "th", "pool_size": [2, 2], "strides": [2, 2], "border_mode": "valid"}, "inbound_nodes": [[["c3", 0, 0]]], "name": "maxpooling2d_2"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "c4", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 5, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": null, "activation": "sigmoid", "nb_row": 5}, "inbound_nodes": [[["maxpooling2d_2", 0, 0]]], "name": "c4"}, {"class_name": "UpSampling2D", "config": {"trainable": true, "name": "upsampling2d_1", "size": [2, 2]}, "inbound_nodes": [[["c4", 0, 0]]], "name": "upsampling2d_1"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "c5", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 5, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": null, "activation": "sigmoid", "nb_row": 5}, "inbound_nodes": [[["upsampling2d_1", 0, 0]]], "name": "c5"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_1", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 5, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 3, "border_mode": "same", "b_regularizer": null, "W_regularizer": null, "activation": "sigmoid", "nb_row": 5}, "inbound_nodes": [[["c5", 0, 0]]], "name": "convolution2d_1"}, {"class_name": "UpSampling2D", "config": {"trainable": true, "name": "upsampling2d_2", "size": [2, 2]}, "inbound_nodes": [[["convolution2d_1", 0, 0]]], "name": "upsampling2d_2"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "c6", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 5, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 3, "border_mode": "same", "b_regularizer": null, "W_regularizer": null, "activation": "sigmoid", "nb_row": 5}, "inbound_nodes": [[["upsampling2d_2", 0, 0]]], "name": "c6"}], "input_layers": [["input_1", 0, 0]], "output_layers": [["c6", 0, 0]], "name": "model_1"}}