Overview
Dive into a comprehensive 5-hour tutorial that teaches PyTorch through five practical projects with instructor Omar Atef. Master PyTorch syntax by working through increasingly complex applications: begin with tabular data classification, progress to building custom image classification models, implement pre-trained models for image tasks, develop audio classification systems, and finish with text classification using BERT. Each project provides hands-on experience with real-world applications, giving you a well-rounded understanding of PyTorch's capabilities across different data types. All code examples are available on GitHub, making it easy to follow along and experiment with the concepts presented throughout the tutorial.
Syllabus
0:00:00 Tabular Data Classification
1:31:13 Image Classification
2:47:49 Pre-trained Models - Image Classification
3:38:31 Audio Classification
4:52:31 Text Classification
Taught by
freeCodeCamp.org