keras layers conv2d

1tf.keras.layers.Conv2D(
2    filters, kernel_size, strides=(1, 1), padding='valid', data_format=None,
3    dilation_rate=(1, 1), activation=None, use_bias=True,
4    kernel_initializer='glorot_uniform', bias_initializer='zeros',
5    kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None,
6    kernel_constraint=None, bias_constraint=None, **kwargs
7)

1model.add(Conv2D(128, (3, 3), strides=(1, 1), activation="relu"))

1tf.keras.layers.Conv2D(
2    filters,
3    kernel_size,
4    strides=(1, 1),
5    padding="valid",
6    data_format=None,
7    dilation_rate=(1, 1),
8    groups=1,
9    activation=None,
10    use_bias=True,
11    kernel_initializer="glorot_uniform",
12    bias_initializer="zeros",
13    kernel_regularizer=None,
14    bias_regularizer=None,
15    activity_regularizer=None,
16    kernel_constraint=None,
17    bias_constraint=None,
18    **kwargs
19)
20