- Tutorials >
- PyTorch Recipes
-
Shortcuts
Loading data in PyTorch
Learn how to use PyTorch packages to prepare and load common datasets for your model.
Defining a Neural Network
Learn how to use PyTorch's torch.nn package to create and define a neural network the MNIST dataset.
What is a state_dict in PyTorch
Learn how state_dict objects, Python dictionaries, are used in saving or loading models from PyTorch.
Saving and loading models for inference in PyTorch
Learn about the two approaches for saving and loading models for inference in PyTorch - via the state_dict and via the entire model.
Saving and loading a general checkpoint in PyTorch
Saving and loading a general checkpoint model for inference or resuming training can be helpful for picking up where you last left off. In this recipe, explore how to save and load multiple checkpoints.
Saving and loading multiple models in one file using PyTorch
In this recipe, learn how saving and loading multiple models can be helpful for reusing models that you have previously trained.
