| backend | | default: "tensorflow" |
| class_name | | default: "Sequential" |
| config | | default: {"name": "sequential_1"} |
| layer00_vgg16_input | | default: {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 128, 128, 3], "dtype": "float32", "name": "vgg16_input", "ragged": false, "sparse": false}, "module": "keras.layers", "registered_name": null} |
| layer01_input_2 | | default: {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 128, 128, 3], "dtype": "float32", "name": "input_2", "ragged": false, "sparse": false}, "inbound_nodes": [], "module": "keras.layers", "name": "input_2", "registered_name": null} |
| layer02_block1_conv1 | | default: {"build_config": {"input_shape": [null, 128, 128, 3]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["input_2", 0, 0, {}]]], "module": "keras.layers", "name": "block1_conv1", "registered_name": null} |
| layer03_block1_conv2 | | default: {"build_config": {"input_shape": [null, 128, 128, 64]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["block1_conv1", 0, 0, {}]]], "module": "keras.layers", "name": "block1_conv2", "registered_name": null} |
| layer04_block1_pool | | default: {"build_config": {"input_shape": [null, 128, 128, 64]}, "class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "block1_pool", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": false}, "inbound_nodes": [[["block1_conv2", 0, 0, {}]]], "module": "keras.layers", "name": "block1_pool", "registered_name": null} |
| layer05_block2_conv1 | | default: {"build_config": {"input_shape": [null, 64, 64, 64]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["block1_pool", 0, 0, {}]]], "module": "keras.layers", "name": "block2_conv1", "registered_name": null} |
| layer06_block2_conv2 | | default: {"build_config": {"input_shape": [null, 64, 64, 128]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["block2_conv1", 0, 0, {}]]], "module": "keras.layers", "name": "block2_conv2", "registered_name": null} |
| layer07_block2_pool | | default: {"build_config": {"input_shape": [null, 64, 64, 128]}, "class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "block2_pool", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": false}, "inbound_nodes": [[["block2_conv2", 0, 0, {}]]], "module": "keras.layers", "name": "block2_pool", "registered_name": null} |
| layer08_block3_conv1 | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["block2_pool", 0, 0, {}]]], "module": "keras.layers", "name": "block3_conv1", "registered_name": null} |
| layer09_block3_conv2 | | default: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["block3_conv1", 0, 0, {}]]], "module": "keras.layers", "name": "block3_conv2", "registered_name": null} |
| layer10_block3_conv3 | | default: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["block3_conv2", 0, 0, {}]]], "module": "keras.layers", "name": "block3_conv3", "registered_name": null} |
| layer11_block3_pool | | default: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "block3_pool", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": false}, "inbound_nodes": [[["block3_conv3", 0, 0, {}]]], "module": "keras.layers", "name": "block3_pool", "registered_name": null} |
| layer12_block4_conv1 | | default: {"build_config": {"input_shape": [null, 16, 16, 256]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["block3_pool", 0, 0, {}]]], "module": "keras.layers", "name": "block4_conv1", "registered_name": null} |
| layer13_block4_conv2 | | default: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["block4_conv1", 0, 0, {}]]], "module": "keras.layers", "name": "block4_conv2", "registered_name": null} |
| layer14_block4_conv3 | | default: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["block4_conv2", 0, 0, {}]]], "module": "keras.layers", "name": "block4_conv3", "registered_name": null} |
| layer15_block4_pool | | default: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "block4_pool", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": false}, "inbound_nodes": [[["block4_conv3", 0, 0, {}]]], "module": "keras.layers", "name": "block4_pool", "registered_name": null} |
| layer16_block5_conv1 | | default: {"build_config": {"input_shape": [null, 8, 8, 512]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["block4_pool", 0, 0, {}]]], "module": "keras.layers", "name": "block5_conv1", "registered_name": null} |
| layer17_block5_conv2 | | default: {"build_config": {"input_shape": [null, 8, 8, 512]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["block5_conv1", 0, 0, {}]]], "module": "keras.layers", "name": "block5_conv2", "registered_name": null} |
| layer18_block5_conv3 | | default: {"build_config": {"input_shape": [null, 8, 8, 512]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["block5_conv2", 0, 0, {}]]], "module": "keras.layers", "name": "block5_conv3", "registered_name": null} |
| layer19_block5_pool | | default: {"build_config": {"input_shape": [null, 8, 8, 512]}, "class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "block5_pool", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["block5_conv3", 0, 0, {}]]], "module": "keras.layers", "name": "block5_pool", "registered_name": null} |
| layer20_batch_normalization_2 | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "BatchNormalization", "config": [3], "module": "keras.layers", "registered_name": null} |
| layer21_dense_3 | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "Dense", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}, "module": "keras.initializers", "registered_name": null}, "bias_regularizer": null, "dtype": "float32", "kernel_constraint": null, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "module": "keras.initializers", "registered_name": null}, "kernel_regularizer": {"class_name": "L1", "config": {"l1": 0.009999999776482582}, "module": "keras.regularizers", "registered_name": null}, "name": "dense_3", "trainable": true, "units": 256, "use_bias": true}, "module": "keras.layers", "registered_name": null} |
| layer22_dropout_2 | | default: {"build_config": {"input_shape": [null, 4, 4, 256]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout_2", "noise_shape": null, "rate": 0.5, "seed": null, "trainable": true}, "module": "keras.layers", "registered_name": null} |
| layer23_batch_normalization_3 | | default: {"build_config": {"input_shape": [null, 4, 4, 256]}, "class_name": "BatchNormalization", "config": [3], "module": "keras.layers", "registered_name": null} |
| layer24_dense_4 | | default: {"build_config": {"input_shape": [null, 4, 4, 256]}, "class_name": "Dense", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}, "module": "keras.initializers", "registered_name": null}, "bias_regularizer": null, "dtype": "float32", "kernel_constraint": null, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "module": "keras.initializers", "registered_name": null}, "kernel_regularizer": {"class_name": "L1", "config": {"l1": 0.019999999552965164}, "module": "keras.regularizers", "registered_name": null}, "name": "dense_4", "trainable": true, "units": 512, "use_bias": true}, "module": "keras.layers", "registered_name": null} |
| layer25_dropout_3 | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout_3", "noise_shape": null, "rate": 0.5, "seed": null, "trainable": true}, "module": "keras.layers", "registered_name": null} |
| layer26_global_max_pooling2d_1 | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "GlobalMaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": false, "name": "global_max_pooling2d_1", "trainable": true}, "module": "keras.layers", "registered_name": null} |
| layer27_dense_5 | | default: {"build_config": {"input_shape": [null, 512]}, "class_name": "Dense", "config": {"activation": "softmax", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}, "module": "keras.initializers", "registered_name": null}, "bias_regularizer": null, "dtype": "float32", "kernel_constraint": null, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "module": "keras.initializers", "registered_name": null}, "kernel_regularizer": null, "name": "dense_5", "trainable": true, "units": 67, "use_bias": true}, "module": "keras.layers", "registered_name": null} |
| optimizer | | default: {"loss": "categorical_crossentropy", "metrics": [], "optimizer_config": {"class_name": "RMSprop", "config": {"centered": false, "clipnorm": null, "clipvalue": null, "ema_momentum": 0.99, "ema_overwrite_frequency": 100, "epsilon": 1e-07, "global_clipnorm": null, "is_legacy_optimizer": false, "jit_compile": true, "learning_rate": 9.999999747378752e-05, "momentum": 0.0, "name": "RMSprop", "rho": 0.9, "use_ema": false, "weight_decay": null}}} |
| tensorflow_version | | default: "2.15.0" |