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Intro to Deep Learning with PyTorch

Learn the basics of deep learning, and build your own deep neural networks using PyTorch, an open source machine learning library used for applications such as NLP and Computer Vision.

  • Course
  • 4.6 (23)
  • Updated: Mar 7, 2022
Free Course

Intro to Deep Learning with PyTorch

Prerequisites

0 prerequisites

You will need to be able to communicate fluently and professionally in written and spoken English.

Course Outline

  • 9 lessons

Program Instructors

5 instructors

Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:

Luis Serrano, PhD

ML Engineer and Quantum AI Research Scientist

Alexis Cook

Curriculum Lead

Soumith Chintala

Instructor

Cezanne Camacho

Curriculum Lead

Mat Leonard

Senior Data Engineer, Octave

Luis Serrano, PhD

ML Engineer and Quantum AI Research Scientist

Alexis Cook

Curriculum Lead

Soumith Chintala

Instructor

Cezanne Camacho

Curriculum Lead

Mat Leonard

Senior Data Engineer, Octave

Reviews

Average Rating: 4.6 (23 Reviews)

Its good but its very long corse

Dawit Zerihun

Mar 10, 2026

Very nice and easy to understand

Chenxi Liu

Feb 22, 2026

I had been a self taught PyTorch developer but taking this course has been immensely useful to me, I will say it took me from just knowing how to preprocess data, build, train, and test model to actually understanding what I am doing and the underlying principles, thank you.

Muhammad Ibrahim

Feb 14, 2026

Excellent!

Daniel Rodríguez Calderón

Feb 6, 2026

Excellent!

Daniel Rodríguez Calderón

Feb 6, 2026

Free Course

Intro to Deep Learning with PyTorch

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