Introduction to PyTorch: Core Functionalities and Advantages
Goal
This session introduces PyTorch, one of the most popular deep learning frameworks, known for its flexibility and ease of use. Participants will gain hands-on experience with PyTorch’s core functionalities and apply them to a sample dataset, setting the stage for a subsequent hands-on session. The goal is to arm participants with the essential knowledge and confidence required to begin utilizing PyTorch in their deep learning endeavors, ensuring they’re well-prepared for practical application and further exploration.
Outline
- Introduction to PyTorch
- Understanding PyTorch’s core functionalities
- Working with data in PyTorch
- Building a simple neural network in PyTorch
- Training a model
- Evaluating a model
- Conclusion and preparing for hands-on session