Index
Layers API
The nse.layers module provides classes to build neural network layers.
For example, you can use the nse.layers.preprocessing.AmplitudeWarp layer to apply amplitude warping to audio signals.
Available Layers
- Preprocessing Layers: Provides
tf.data.Datasetpreprocessing layers. - Activations: Provides activation functions.
- Convolutional Layers: Provides convolutional layers.
- Normalization Layers: Provides normalization layers.
- Patching Layers: Provides patching layers.
- Squeeze-and-Excitation Layer: Provides squeeze-and-excitation layers.
- MBConv Layer: Provides popular mbconv block.