Reference Manual

To check if you have installed Neuralnet-pytorch correctly, try

>>> import neuralnet_pytorch as nnt

If there is any error, please check your installation again (see Installation).

The basic contents of our package are as follows.

Neuralnet Layers

• layers – Basic Layers
  • Abstract Layers
    • Attributes
    • Extended Pytorch Abstract Layers
    • Quick-and-dirty Layers
  • Common Layers
    • Extended Pytorch Common Layers
    • Extra Layers
    • Graph Learning Layers
    • Multi-module Layers
• normalization – Normalization Layers
  • Extended Normalization Layers
  • Custom Lormalization Layers
• resizing – Resizing Layers
  • Extended Resizing Layers
  • Custom Resizing Layers

Monitor Network Training

• monitor – Monitor Training of Neural Networks
• monitor – Track Intermediate Results

Optimization

• optimization – Extra Optimization Schemes
  • Extra Optimizers
  • Extra LR Schedulers

Additional Metrics

• metrics – Common Metrics

Extras

• utilities – Utility Functions and Classes
  • Utilities for tensor manipulation
  • Utilities for Pytorch layers
  • Utilities for data handling
  • Utilities for activation functions
  • Utilities for computer vision applications
  • Utilities for Numpy arrays
  • Miscellaneous utilities

Gin-config

• gin – Gin-config
  • Optimizer Keywords
  • Learning Rate Scheduler Keywords
  • Loss Keywords
  • Activation Keywords
  • Data Type Keywords

Pretrained Networks

• zoo – Model Zoo - Pretrained Neural Nets
  • Residual Neural Networks
  • VGG