Skip to content

AydaFarhadi/Deep-Learning-with-PyTorch-Summary

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

98 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Deep-Learning-with-PyTorch

summary of the "Deep Learning with PyTorch" book

This summary is designed to provide a practical introduction to deep learning using PyTorch. The sumary covers various concepts of deep learning, including the basics of neural networks, convolutional neural networks, and etc. It also provides a hands-on approach, with many practical examples and code snippets, to help readers understand the concepts and implement them in their own projects. The summmary is intended for readers with some programming experience who want to learn how to apply deep learning techniques using PyTorch, and also for experienced data scientists who want to improve their deep learning skills.

Screen Shot 2023-01-15 at 8 08 55 PM

About the contributors

Ayda Farhadi is a highly accomplished individual with a background in computer science. She holds a PhD in the field and has extensive experience as a senior data scientist. Prior to her current role, Ayda completed internships at esteemed organizations such as Mayo Clinic and Children's Healthcare of Atlanta, further demonstrating her expertise and commitment to her work. Furthermore, she is the founder of GitMop.

About

summary of the "Deep Learning with PyTorch" book

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published