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model.add(Conv2D(64, kernel_size=(3, 3), activation='relu'))

Sona Lakkoju answered on April 9, 2023 Popularity 1/10 Helpfulness 8/10

answer model.add(Conv2D(64, kernel_size=(3, 3), activation='relu'))

model.add(Conv2D(64, kernel_size=(3, 3), activation='relu'))

Comment

The Keras Conv2D class constructor has the following arguments:

keras.layers.Conv2D(filters, kernel_size, strides=(1, 1),
  padding='valid', data_format=None, dilation_rate=(1, 1),
  activation=None, use_bias=True, kernel_initializer='glorot_uniform',
  bias_initializer='zeros', kernel_regularizer=None,
  bias_regularizer=None, activity_regularizer=None,
  kernel_constraint=None, bias_constraint=None)

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