-
Notifications
You must be signed in to change notification settings - Fork 1
/
model.json
1 lines (1 loc) · 6.15 KB
/
model.json
1
{"format": "layers-model", "generatedBy": "keras v2.3.1", "convertedBy": "TensorFlow.js Converter v2.0.1.post1", "modelTopology": {"keras_version": "2.3.1", "backend": "tensorflow", "model_config": {"class_name": "Model", "config": {"name": "model_5", "layers": [{"name": "input_5", "class_name": "InputLayer", "config": {"batch_input_shape": [null, 128, 128, 3], "dtype": "float32", "sparse": false, "name": "input_5"}, "inbound_nodes": []}, {"name": "sequential_4", "class_name": "Sequential", "config": {"name": "sequential_4", "layers": [{"class_name": "Conv2D", "config": {"name": "conv2d_13", "trainable": true, "batch_input_shape": [null, 128, 128, 3], "dtype": "float32", "filters": 128, "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": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_13", "trainable": true, "dtype": "float32", "alpha": 0.20000000298023224}}, {"class_name": "Conv2D", "config": {"name": "conv2d_14", "trainable": true, "dtype": "float32", "filters": 128, "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": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_14", "trainable": true, "dtype": "float32", "alpha": 0.20000000298023224}}, {"class_name": "Conv2D", "config": {"name": "conv2d_15", "trainable": true, "dtype": "float32", "filters": 128, "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": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_15", "trainable": true, "dtype": "float32", "alpha": 0.20000000298023224}}, {"class_name": "UpSampling2D", "config": {"name": "up_sampling2d_2", "trainable": true, "dtype": "float32", "size": [2, 2], "data_format": "channels_last", "interpolation": "nearest"}}, {"class_name": "Conv2D", "config": {"name": "conv2d_16", "trainable": true, "dtype": "float32", "filters": 128, "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": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_16", "trainable": true, "dtype": "float32", "alpha": 0.20000000298023224}}, {"class_name": "Conv2D", "config": {"name": "conv2d_17", "trainable": true, "dtype": "float32", "filters": 128, "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": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_17", "trainable": true, "dtype": "float32", "alpha": 0.20000000298023224}}, {"class_name": "Conv2D", "config": {"name": "conv2d_18", "trainable": true, "dtype": "float32", "filters": 3, "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": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_18", "trainable": true, "dtype": "float32", "alpha": 0.20000000298023224}}]}, "inbound_nodes": [[["input_5", 0, 0, {}]]]}], "input_layers": [["input_5", 0, 0]], "output_layers": [["sequential_4", 1, 0]]}}}, "weightsManifest": [{"paths": ["group1-shard1of1.bin"], "weights": [{"name": "conv2d_13/kernel", "shape": [3, 3, 3, 128], "dtype": "float32"}, {"name": "conv2d_13/bias", "shape": [128], "dtype": "float32"}, {"name": "conv2d_14/kernel", "shape": [3, 3, 128, 128], "dtype": "float32"}, {"name": "conv2d_14/bias", "shape": [128], "dtype": "float32"}, {"name": "conv2d_15/kernel", "shape": [3, 3, 128, 128], "dtype": "float32"}, {"name": "conv2d_15/bias", "shape": [128], "dtype": "float32"}, {"name": "conv2d_16/kernel", "shape": [3, 3, 128, 128], "dtype": "float32"}, {"name": "conv2d_16/bias", "shape": [128], "dtype": "float32"}, {"name": "conv2d_17/kernel", "shape": [3, 3, 128, 128], "dtype": "float32"}, {"name": "conv2d_17/bias", "shape": [128], "dtype": "float32"}, {"name": "conv2d_18/kernel", "shape": [3, 3, 128, 3], "dtype": "float32"}, {"name": "conv2d_18/bias", "shape": [3], "dtype": "float32"}]}]}