This layer applies an activation function element-wise to the layer input. Corresponds to the Keras Activation Layer .

This layer applies an update to the cost function based on input activity. Corresponds to the Keras Activity Regularization Layer…

A layer that adds two inputs. Corresponds to the Add Keras layer . The inputs must be of the same shape.

Applies Alpha Dropout to the input. Alpha Dropout is a Dropout that keeps mean and variance of inputs to their original values, i…

Takes two tensors of the same shape as input and adds them element-wise. Corresponds to the Add Keras layer .

This layer applies average pooling in a single dimension. Corresponds to the Keras Average Pooling 1D Layer .

This layer applies average pooling in two dimensions. Corresponds to the Keras Average Pooling 2D Layer .

This layer applies average pooling in three dimensions. Corresponds to the Keras Average Pooling 3D Layer .

Normalize the layer input at each batch, i.e. applies a transformation that maintains the mean activation close to 0 and the acti…

Normalize the layer input at each batch, i.e. applies a transformation that maintains the mean activation close to 0 and the acti…

A layer that just collects the outputs of its input layers. Its main purpose is the creation of networks with multiple outputs wh…

A layer that concatenates two inputs along a specified axis. Corresponds to the Concatenate Keras layer . The inputs must be of t…

This layer creates a convolution kernel that is convolved with the layer input over a single dimension. Corresponds to the Keras …

This layer creates a convolution kernel that is convolved with the layer input over a single dimension. Corresponds to the Keras …

This layer creates a convolution kernel that is convolved with the layer input over two dimensions. Corresponds to the Keras Conv…

This layer creates a convolution kernel that is convolved with the layer input over two dimensions. Corresponds to the Keras Conv…

This layer creates a convolution kernel that is convolved with the layer input over three dimensions. Corresponds to the Keras Co…

This layer creates a convolution kernel that is convolved with the layer input over three dimensions. Corresponds to the Keras Co…

2D Convolutional Long-Short Term Memory (LSTM) layer. Similar to a normal LSTM, but the input and recurrent transformations are b…

2D Convolutional Long-Short Term Memory (LSTM) layer. Similar to a normal LSTM, but the input and recurrent transformations are b…