tf.compat.v1.layers.conv3d

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Functional interface for the 3D convolution layer. (deprecated)

tf.compat.v1.layers.conv3d(
    inputs, filters, kernel_size, strides=(1, 1, 1), padding='valid',
    data_format='channels_last', dilation_rate=(1, 1, 1), activation=None,
    use_bias=True, kernel_initializer=None, bias_initializer=tf.zeros_initializer(),
    kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None,
    kernel_constraint=None, bias_constraint=None, trainable=True, name=None,
    reuse=None
)

Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.keras.layers.Conv3D instead.

This layer creates a convolution kernel that is convolved (actually cross-correlated) with the layer input to produce a tensor of outputs. If use_bias is True (and a bias_initializer is provided), a bias vector is created and added to the outputs. Finally, if activation is not None, it is applied to the outputs as well.

Arguments:

Returns:

Output tensor.

Raises: