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{ | |
"class_name": "Sequential", | |
"config": { | |
"name": "sequential", | |
"layers": [{ | |
"class_name": "InputLayer", | |
"config": { | |
"batch_input_shape": [null, 50, 50, 3], | |
"dtype": "float32", | |
"sparse": false, | |
"ragged": false, | |
"name": "conv2d_input" | |
} | |
}, { | |
"class_name": "Conv2D", | |
"config": { | |
"name": "conv2d", | |
"trainable": true, | |
"batch_input_shape": [null, 50, 50, 3], | |
"dtype": "float32", | |
"filters": 100, | |
"kernel_size": [3, 3], | |
"strides": [1, 1], | |
"padding": "valid", | |
"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 | |
} | |
}, { | |
"class_name": "Conv2D", | |
"config": { | |
"name": "conv2d_1", | |
"trainable": true, | |
"dtype": "float32", | |
"filters": 200, | |
"kernel_size": [3, 3], | |
"strides": [1, 1], | |
"padding": "valid", | |
"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 | |
} | |
}, { | |
"class_name": "MaxPooling2D", | |
"config": { | |
"name": "max_pooling2d", | |
"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": 100, | |
"kernel_size": [3, 3], | |
"strides": [1, 1], | |
"padding": "valid", | |
"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 | |
} | |
}, { | |
"class_name": "Conv2D", | |
"config": { | |
"name": "conv2d_3", | |
"trainable": true, | |
"dtype": "float32", | |
"filters": 100, | |
"kernel_size": [3, 3], | |
"strides": [1, 1], | |
"padding": "valid", | |
"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 | |
} | |
}, { | |
"class_name": "Conv2D", | |
"config": { | |
"name": "conv2d_4", | |
"trainable": true, | |
"dtype": "float32", | |
"filters": 100, | |
"kernel_size": [3, 3], | |
"strides": [1, 1], | |
"padding": "valid", | |
"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 | |
} | |
}, { | |
"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": "Dropout", | |
"config": { | |
"name": "dropout", | |
"trainable": true, | |
"dtype": "float32", | |
"rate": 0.5, | |
"noise_shape": null, | |
"seed": null | |
} | |
}, { | |
"class_name": "Flatten", | |
"config": { | |
"name": "flatten", | |
"trainable": true, | |
"dtype": "float32", | |
"data_format": "channels_last" | |
} | |
}, { | |
"class_name": "Dense", | |
"config": { | |
"name": "dense", | |
"trainable": true, | |
"dtype": "float32", | |
"units": 500, | |
"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 | |
} | |
}, { | |
"class_name": "Dense", | |
"config": { | |
"name": "dense_1", | |
"trainable": true, | |
"dtype": "float32", | |
"units": 2, | |
"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 | |
} | |
}] | |
}, | |
"keras_version": "2.7.0", | |
"backend": "tensorflow" | |
} |