CODEWITHSUNDEEP
pythontensorflow
prateek agrawal
prateek agrawal

Reputation: 463

How to provide input layer to tf.layers.Conv3D?

tf.layers have two classes for 3d convolution. 1) tf.layers.conv3d and 2) tf.layers.Conv3D

According to the documentation, tf.layers.conv3d is going to be deprecated. So I started using tf.layers.Conv3D.

But tf.layers.Conv3D doesn't have a parameter to specify the input layer where as tf.layers.conv3d has.

Can someone help me figure out how to give inputs to tf.layers.Conv3D layer ?

Upvotes: 2

Views: 195

Answers (1)

olegr
olegr

Reputation: 2019

You could rewrite your code in the following manner:

    # Old
    output = tf.conv3d(input, *other_args)

    # New
    output = tf.keras.layers.Conv3D(*other_args)(input)

Upvotes: 1

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