Introduction to PyTorch
In this module, you learn key concepts used to build machine learning models with PyTorch. You also 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