Home page

Deconstructing Deep Learning + δeviations

Drop me an email | RSS feed link : Click
Format : Date | Title
  TL; DR

Total number of posts : 89

Go To : PAPERS o ARTICLES o BOOKS o SPACE

View My GitHub Profile


Go to index

fastai Book

Reading time : ~1 min

by Subhaditya Mukherjee

What I found interesting from the book “Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD” by Jeremy Howard (Author), Sylvain Gugger (Author)

Link to the book

I will not be adding any codes here as those will be part of the projects/deeper blog posts.

Drive train approach

Data issues

Deplyoment

General points

Ethics

Technical/Math

Related posts:  FP16  AI Superpowers Kai Fu Lee  Digital Minimalism Cal Newport  More Deep Learning, Less Crying - A guide  Super resolution  Federated Learning  Taking Batchnorm For Granted  A murder mystery and Adversarial attack  Thank you and a rain check  Pruning