Upload myVGG.json

myVGG.json

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+{"class_name": "Functional", "config": {"name": "model_1", "trainable": true, "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 256, 256, 3], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_3"}, "name": "input_3", "inbound_nodes": []}, {"class_name": "Conv2D", "config": {"name": "block1_conv1", "trainable": false, "dtype": "float32", "filters": 64, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "block1_conv1", "inbound_nodes": [[["input_3", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "block1_conv2", "trainable": false, "dtype": "float32", "filters": 64, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "block1_conv2", "inbound_nodes": [[["block1_conv1", 0, 0, {}]]]}, {"class_name": "MaxPooling2D", "config": {"name": "block1_pool", "trainable": false, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}, "name": "block1_pool", "inbound_nodes": [[["block1_conv2", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "block2_conv1", "trainable": false, "dtype": "float32", "filters": 128, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "block2_conv1", "inbound_nodes": [[["block1_pool", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "block2_conv2", "trainable": false, "dtype": "float32", "filters": 128, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "block2_conv2", "inbound_nodes": [[["block2_conv1", 0, 0, {}]]]}, {"class_name": "MaxPooling2D", "config": {"name": "block2_pool", "trainable": false, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}, "name": "block2_pool", "inbound_nodes": [[["block2_conv2", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "block3_conv1", "trainable": false, "dtype": "float32", "filters": 256, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "block3_conv1", "inbound_nodes": [[["block2_pool", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "block3_conv2", "trainable": false, "dtype": "float32", "filters": 256, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "block3_conv2", "inbound_nodes": [[["block3_conv1", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "block3_conv3", "trainable": false, "dtype": "float32", "filters": 256, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "block3_conv3", "inbound_nodes": [[["block3_conv2", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "block3_conv4", "trainable": false, "dtype": "float32", "filters": 256, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "block3_conv4", "inbound_nodes": [[["block3_conv3", 0, 0, {}]]]}, {"class_name": "MaxPooling2D", "config": {"name": "block3_pool", "trainable": false, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}, "name": "block3_pool", "inbound_nodes": [[["block3_conv4", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "block4_conv1", "trainable": false, "dtype": "float32", "filters": 512, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "block4_conv1", "inbound_nodes": [[["block3_pool", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "block4_conv2", "trainable": false, "dtype": "float32", "filters": 512, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "block4_conv2", "inbound_nodes": [[["block4_conv1", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "block4_conv3", "trainable": false, "dtype": "float32", "filters": 512, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "block4_conv3", "inbound_nodes": [[["block4_conv2", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "block4_conv4", "trainable": false, "dtype": "float32", "filters": 512, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "block4_conv4", "inbound_nodes": [[["block4_conv3", 0, 0, {}]]]}, {"class_name": "MaxPooling2D", "config": {"name": "block4_pool", "trainable": false, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}, "name": "block4_pool", "inbound_nodes": [[["block4_conv4", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "block5_conv1", "trainable": false, "dtype": "float32", "filters": 512, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "block5_conv1", "inbound_nodes": [[["block4_pool", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "block5_conv2", "trainable": false, "dtype": "float32", "filters": 512, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "block5_conv2", "inbound_nodes": [[["block5_conv1", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "block5_conv3", "trainable": false, "dtype": "float32", "filters": 512, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "block5_conv3", "inbound_nodes": [[["block5_conv2", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "block5_conv4", "trainable": false, "dtype": "float32", "filters": 512, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "block5_conv4", "inbound_nodes": [[["block5_conv3", 0, 0, {}]]]}, {"class_name": "MaxPooling2D", "config": {"name": "block5_pool", "trainable": false, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}, "name": "block5_pool", "inbound_nodes": [[["block5_conv4", 0, 0, {}]]]}, {"class_name": "Flatten", "config": {"name": "flatten_4", "trainable": true, "dtype": "float32", "data_format": 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"config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_7", "inbound_nodes": [[["dropout_9", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_8", "trainable": true, "dtype": "float32", "units": 5, "activation": "softmax", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_8", "inbound_nodes": [[["dense_7", 0, 0, {}]]]}], "input_layers": [["input_3", 0, 0]], "output_layers": [["dense_8", 0, 0]]}, "keras_version": "2.12.0", "backend": "tensorflow"}