Delete config.json
Browse files- config.json +0 -177
config.json
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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}}]}
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