conv 2d tf keras
tf.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, **kwargs
)keras conv2d
model.add(Conv2D(128, (3, 3), strides=(1, 1), activation="relu"))keras layers conv2d
tf.keras.layers.Conv2D(
filters,
kernel_size,
strides=(1, 1),
padding="valid",
data_format=None,
dilation_rate=(1, 1),
groups=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,
**kwargs
)Copyright © 2021 Codeinu
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