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Artificial Intelligence and Machine Learning
PyTorch Basics
Two weeks from tensors to a trained network
A two-week classroom course that works through PyTorch's own Learn the Basics series step by step: tensors, datasets and data loaders, transforms, building a model, automatic differentiation, the optimization loop, and saving and loading a model. This course prepares for no exam.
6Modules
IntermediateLevel
2 weeksDuration
COURSE THUMBNAIL
What you will be able to do
Work with tensors and load a dataset
Define a small neural network
Train it, save it and use it
Course outline
01
Tensors
02
Datasets and DataLoaders
03
Transforms
04
Build the model
05
Automatic differentiation
06
The optimization loop; save and load
Tools you will use
PyTorchPythonJupyter
What you need
Comfortable programming in Python
