Free Course
Intro to Deep Learning with PyTorch
by
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 Content
Interactive Quizzes
Taught by Industry Pros
Self-Paced Learning
Course Leads
Luis Serrano
Lead Instructor
Alexis Cook
Instructor
Soumith Chintala
Instructor
Cezanne Camacho
Instructor
Mat Leonard
Instructor
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