Practical Deep Learning using PyTorch | CampusX

Practical first, theory second

This CampusX playlist is built around doing rather than reading. It focuses on solving real problems in PyTorch, tweaking models until they perform well, and applying some advanced techniques once the basics are in place. Its description places it at an advanced level.

Who should take it

The playlist suits learners in data science, AI or applied modelling who already have the fundamentals and want to get more out of their models. Being comfortable with Python and the core ideas of neural networks before starting will make the advanced sections easier to follow.

What to expect

Expect an emphasis on experimentation. You will learn how to adjust a model and see what changes, which is closer to how practitioners work than a set of definitions. The course is presented in Hindi, so it suits learners who prefer that language for technical material.