Introduction to PyTorch
Learn key concepts used to build machine learning models with PyTorch. We'll train a neural network model that recognizes and classifies images.
Learning objectives
In this module you will:
- Learn how to use Tensors with CPUs and GPUs
- Understand how to manage, scale and normalize your datasets
- Build an image recognition model using a neural network
- Learn how to optimize a model
- Learn how to enhance model inference performance
Prerequisites
- Basic Python knowledge
- Basic knowledge about how to use Jupyter Notebooks