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  1. config.json +177 -0
config.json ADDED
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+ {'name': 'sequential_2',
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+ 'layers': [{'class_name': 'InputLayer',
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+ 'config': {'batch_input_shape': (None, 180, 180, 3),
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+ 'dtype': 'float32',
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+ 'sparse': False,
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+ 'ragged': False,
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+ 'name': 'sequential_1_input'}},
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+ {'class_name': 'Sequential',
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+ 'config': {'name': 'sequential_1',
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+ 'layers': [{'class_name': 'InputLayer',
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+ 'config': {'batch_input_shape': (None, 180, 180, 3),
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+ 'dtype': 'float32',
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+ 'sparse': False,
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+ 'ragged': False,
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+ 'name': 'random_flip_input'}},
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+ {'class_name': 'RandomFlip',
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+ 'config': {'name': 'random_flip',
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+ 'trainable': True,
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+ 'batch_input_shape': (None, 180, 180, 3),
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+ 'dtype': 'float32',
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+ 'mode': 'horizontal',
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+ 'seed': None}},
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+ {'class_name': 'RandomRotation',
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+ 'config': {'name': 'random_rotation',
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+ 'trainable': True,
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+ 'dtype': 'float32',
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+ 'factor': 0.1,
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+ 'fill_mode': 'reflect',
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+ 'fill_value': 0.0,
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+ 'interpolation': 'bilinear',
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+ 'seed': None}},
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+ {'class_name': 'RandomZoom',
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+ 'config': {'name': 'random_zoom',
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+ 'trainable': True,
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+ 'dtype': 'float32',
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+ 'height_factor': 0.1,
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+ 'width_factor': None,
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+ 'fill_mode': 'reflect',
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+ 'fill_value': 0.0,
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+ 'interpolation': 'bilinear',
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+ 'seed': None}}]}},
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+ {'class_name': 'Rescaling',
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+ 'config': {'name': 'rescaling_1',
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+ 'trainable': True,
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+ 'batch_input_shape': (None, 180, 180, 3),
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+ 'dtype': 'float32',
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+ 'scale': 0.00392156862745098,
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+ 'offset': 0.0}},
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+ {'class_name': 'Conv2D',
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+ 'config': {'name': 'conv2d_3',
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+ 'trainable': True,
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+ 'dtype': 'float32',
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+ 'filters': 16,
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+ 'kernel_size': (3, 3),
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+ 'strides': (1, 1),
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+ 'padding': 'same',
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+ 'data_format': 'channels_last',
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+ 'dilation_rate': (1, 1),
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+ 'groups': 1,
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+ 'activation': 'relu',
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+ 'use_bias': True,
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+ 'kernel_initializer': {'class_name': 'GlorotUniform',
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+ 'config': {'seed': None}},
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+ 'bias_initializer': {'class_name': 'Zeros', 'config': {}},
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+ 'kernel_regularizer': None,
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+ 'bias_regularizer': None,
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+ 'activity_regularizer': None,
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+ 'kernel_constraint': None,
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+ 'bias_constraint': None}},
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+ {'class_name': 'MaxPooling2D',
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+ 'config': {'name': 'max_pooling2d_3',
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+ 'trainable': True,
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+ 'dtype': 'float32',
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+ 'pool_size': (2, 2),
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+ 'padding': 'valid',
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+ 'strides': (2, 2),
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+ 'data_format': 'channels_last'}},
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+ {'class_name': 'Conv2D',
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+ 'config': {'name': 'conv2d_4',
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+ 'trainable': True,
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+ 'dtype': 'float32',
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+ 'filters': 32,
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+ 'kernel_size': (3, 3),
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+ 'strides': (1, 1),
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+ 'padding': 'same',
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+ 'data_format': 'channels_last',
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+ 'dilation_rate': (1, 1),
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+ 'groups': 1,
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+ 'activation': 'relu',
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+ 'use_bias': True,
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+ 'kernel_initializer': {'class_name': 'GlorotUniform',
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+ 'config': {'seed': None}},
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+ 'bias_initializer': {'class_name': 'Zeros', 'config': {}},
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+ 'kernel_regularizer': None,
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+ 'bias_regularizer': None,
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+ 'activity_regularizer': None,
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+ 'kernel_constraint': None,
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+ 'bias_constraint': None}},
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+ {'class_name': 'MaxPooling2D',
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+ 'config': {'name': 'max_pooling2d_4',
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+ 'trainable': True,
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+ 'dtype': 'float32',
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+ 'pool_size': (2, 2),
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+ 'padding': 'valid',
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+ 'strides': (2, 2),
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+ 'data_format': 'channels_last'}},
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+ {'class_name': 'Conv2D',
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+ 'config': {'name': 'conv2d_5',
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+ 'trainable': True,
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+ 'dtype': 'float32',
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+ 'filters': 64,
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+ 'kernel_size': (3, 3),
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+ 'strides': (1, 1),
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+ 'padding': 'same',
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+ 'data_format': 'channels_last',
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+ 'dilation_rate': (1, 1),
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+ 'groups': 1,
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+ 'activation': 'relu',
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+ 'use_bias': True,
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+ 'kernel_initializer': {'class_name': 'GlorotUniform',
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+ 'config': {'seed': None}},
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+ 'bias_initializer': {'class_name': 'Zeros', 'config': {}},
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+ 'kernel_regularizer': None,
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+ 'bias_regularizer': None,
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+ 'activity_regularizer': None,
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+ 'kernel_constraint': None,
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+ 'bias_constraint': None}},
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+ {'class_name': 'MaxPooling2D',
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+ 'config': {'name': 'max_pooling2d_5',
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+ 'trainable': True,
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+ 'dtype': 'float32',
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+ 'pool_size': (2, 2),
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+ 'padding': 'valid',
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+ 'strides': (2, 2),
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+ 'data_format': 'channels_last'}},
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+ {'class_name': 'Dropout',
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+ 'config': {'name': 'dropout',
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+ 'trainable': True,
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+ 'dtype': 'float32',
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+ 'rate': 0.2,
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+ 'noise_shape': None,
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+ 'seed': None}},
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+ {'class_name': 'Flatten',
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+ 'config': {'name': 'flatten_1',
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+ 'trainable': True,
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+ 'dtype': 'float32',
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+ 'data_format': 'channels_last'}},
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+ {'class_name': 'Dense',
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+ 'config': {'name': 'dense_2',
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+ 'trainable': True,
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+ 'dtype': 'float32',
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+ 'units': 128,
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+ 'activation': 'relu',
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+ 'use_bias': True,
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+ 'kernel_initializer': {'class_name': 'GlorotUniform',
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+ 'config': {'seed': None}},
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+ 'bias_initializer': {'class_name': 'Zeros', 'config': {}},
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+ 'kernel_regularizer': None,
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+ 'bias_regularizer': None,
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+ 'activity_regularizer': None,
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+ 'kernel_constraint': None,
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+ 'bias_constraint': None}},
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+ {'class_name': 'Dense',
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+ 'config': {'name': 'dense_3',
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+ 'trainable': True,
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+ 'dtype': 'float32',
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+ 'units': 5,
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+ 'activation': 'linear',
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+ 'use_bias': True,
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+ 'kernel_initializer': {'class_name': 'GlorotUniform',
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+ 'config': {'seed': None}},
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+ 'bias_initializer': {'class_name': 'Zeros', 'config': {}},
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+ 'kernel_regularizer': None,
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+ 'bias_regularizer': None,
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+ 'activity_regularizer': None,
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+ 'kernel_constraint': None,
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+ 'bias_constraint': None}}]}