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model.json
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{"format": "layers-model", "generatedBy": "keras v2.3.1", "convertedBy": "TensorFlow.js Converter v1.7.4r1", "modelTopology": {"keras_version": "2.3.1", "backend": "tensorflow", "model_config": {"class_name": "Sequential", "config": {"name": "sequential_1", "layers": [{"class_name": "Conv2D", "config": {"name": "conv2d_1", "trainable": true, "batch_input_shape": [null, 64, 64, 3], "dtype": "float32", "filters": 32, "kernel_size": [3, 3], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "relu", "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": "MaxPooling2D", "config": {"name": "max_pooling2d_1", "trainable": true, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}}, {"class_name": "Conv2D", "config": {"name": "conv2d_2", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": [3, 3], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "relu", "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": "MaxPooling2D", "config": {"name": "max_pooling2d_2", "trainable": true, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}}, {"class_name": "Conv2D", "config": {"name": "conv2d_3", "trainable": 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"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": "Dense", "config": {"name": "dense_2", "trainable": true, "dtype": "float32", "units": 128, "activation": "relu", "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": "Dense", "config": {"name": "dense_3", "trainable": true, "dtype": "float32", "units": 43, "activation": "softmax", "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}}]}}, "training_config": {"optimizer_config": {"class_name": "Adam", "config": {"learning_rate": 0.0010000000474974513, "beta_1": 0.8999999761581421, "beta_2": 0.9990000128746033, "decay": 0.0, "epsilon": 1e-07, "amsgrad": false}}, "loss": "categorical_crossentropy", "metrics": ["accuracy"], "weighted_metrics": null, "sample_weight_mode": null, "loss_weights": null}}, "weightsManifest": [{"paths": ["group1-shard1of1.bin"], "weights": [{"name": "conv2d_1_1/kernel", "shape": [3, 3, 3, 32], "dtype": "float32"}, {"name": "conv2d_1_1/bias", "shape": [32], "dtype": "float32"}, {"name": "conv2d_2_1/kernel", "shape": [3, 3, 32, 64], "dtype": "float32"}, {"name": "conv2d_2_1/bias", "shape": [64], "dtype": "float32"}, {"name": "conv2d_3_1/kernel", "shape": [3, 3, 64, 64], "dtype": "float32"}, {"name": "conv2d_3_1/bias", "shape": [64], "dtype": "float32"}, {"name": "dense_1_1/kernel", "shape": [2304, 64], "dtype": "float32"}, {"name": "dense_1_1/bias", "shape": [64], "dtype": "float32"}, {"name": "dense_2_1/kernel", "shape": [64, 128], "dtype": "float32"}, {"name": "dense_2_1/bias", "shape": [128], "dtype": "float32"}, {"name": "dense_3_1/kernel", "shape": [128, 43], "dtype": "float32"}, {"name": "dense_3_1/bias", "shape": [43], "dtype": "float32"}]}]}