Luis Serrano, PhD
ML Engineer and Quantum AI Research Scientist
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 (51)
- Updated: Mar 7, 2022
Free Course
Intro to Deep Learning with PyTorch
Prerequisites
0 prerequisites
No prior technical experience required.
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:
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 (51 Reviews)
This course gave me a genuinely solid, hands-on foundation in PyTorch. It moves from CNNs (with clear explanations of convolution, pooling, and CIFAR-10 classification) through neural style transfer, then into RNNs and LSTMs for both character-level text generation and sentiment analysis, and finishes with practical guidance on deploying models to production with Torch Script. The notebooks and video walkthroughs complement each other well, and the instructors do a good job being honest about which design choices are principled versus empirical. Highly recommended for anyone wanting a practical, code-first introduction to deep learning.
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拓真 向後
Aug 21, 2026
Good course
E
Engr. Horizon
Jul 24, 2026
Great Course.
V
Vinay Kumar
Jul 17, 2026
Good and informative
O
Om Khaire
Jul 17, 2026
It's very good course and informative
O
Om Khaire
Jul 17, 2026
Free Course
Intro to Deep Learning with PyTorch