Free Course

Intro to Deep Learning with PyTorch

by
Facebook AI

Use PyTorch to implement your first deep neural network

About this Course

In this course, you’ll learn the basics of deep learning, and build your own deep neural networks using PyTorch. You’ll get practical experience with PyTorch through coding exercises and projects implementing state-of-the-art AI applications such as style transfer and text generation.

Course Cost
Free
Timeline
Approx. 2 months
Skill Level
intermediate
Included in Product

Rich Learning ContentRich Learning Content

Interactive QuizzesInteractive Quizzes

Taught by Industry ProsTaught by Industry Pros

Self-Paced LearningSelf-Paced Learning

Student Support CommunityStudent Support Community

Course Leads

Luis Serrano

Luis Serrano

Lead Instructor

Alexis Cook

Alexis Cook

Instructor

Soumith Chintala

Soumith Chintala

Instructor

Cezanne Camacho

Cezanne Camacho

Instructor

Mat Leonard

Mat Leonard

Content Developer

What You Will Learn

Prerequisites and Requirements

To succeed in this course, you’ll need to be comfortable with Python and data processing libraries such as NumPy and Matplotlib. Basic knowledge of linear algebra and calculus is recommended, but isn’t required to complete the exercises.

See the Technology Requirements for using Udacity.

Why Take This Course

Deep learning is driving the AI revolution and PyTorch is making it easier than ever for anyone to build deep learning applications. In this course, you’ll gain practical experience building and training deep neural networks using PyTorch. You’ll be able to use these skills on your own personal projects.

What do I get?
  • Instructor videos
  • Learn by doing exercises
  • Taught by industry professionals