Contents Menu Expand Light mode Dark mode Auto light/dark mode
Inox 0.3.1
Light Logo Dark Logo

inox

  • Tutorials
    • 1. CNN on MNIST
  • API
    • inox.debug
    • inox.nn
      • inox.nn.activation
      • inox.nn.attention
      • inox.nn.container
      • inox.nn.dropout
      • inox.nn.einops
      • inox.nn.linear
      • inox.nn.module
      • inox.nn.normalization
      • inox.nn.padding
      • inox.nn.pooling
      • inox.nn.recurrent
      • inox.nn.ssm
    • inox.numpy
    • inox.random
    • inox.tree_util

Development

  • Contributing
  • Changelog
  • License
Back to top
Edit this page

inox.nn#

Neural networks, layers and modules

Submodules#

inox.nn.activation

Activation functions

inox.nn.attention

Attention layers

inox.nn.container

Container modules

inox.nn.dropout

Dropout layers

inox.nn.einops

Einstein-like tensor operations

inox.nn.linear

Linear layers

inox.nn.module

Base modules

inox.nn.normalization

Normalization layers

inox.nn.padding

Padding layers

inox.nn.pooling

Pooling layers

inox.nn.recurrent

Recurrent layers

inox.nn.ssm

State space model (SSM) layers

Next
inox.nn.activation
Previous
inox.debug
Copyright © 2023, François Rozet
Made with Sphinx and Furo
On this page
  • inox.nn
    • Submodules