Module: tf.layers

Module tf.layers

This library provides a set of high-level neural networks layers.

Members

average_pooling1d(...): Average Pooling layer for 1D inputs.

average_pooling2d(...): Average pooling layer for 2D inputs (e.g. images).

average_pooling3d(...): Average pooling layer for 3D inputs (e.g. volumes).

batch_normalization(...): Functional interface for the batch normalization layer.

conv1d(...): Functional interface for 1D convolution layer (e.g. temporal convolution).

conv2d(...): Functional interface for the 2D convolution layer.

conv2d_transpose(...): Transposed convolution layer (sometimes called Deconvolution).

conv3d(...): Functional interface for the 3D convolution layer.

dense(...): Functional interface for the densely-connected layer.

dropout(...): Applies Dropout to the input.

max_pooling1d(...): Max Pooling layer for 1D inputs.

max_pooling2d(...): Max pooling layer for 2D inputs (e.g. images).

max_pooling3d(...): Max pooling layer for 3D inputs (e.g. volumes).

separable_conv2d(...): Functional interface for the depthwise separable 2D convolution layer.

Defined in tensorflow/python/layers/layers.py.