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