Resources
Table of Contents
Books
- Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow, 2022, 3rd edition, by Aurélien Géron.
- Reinforcement Learning: An Introduction, 2018, Second Edition, by Richard S. Sutton and Andrew G. Barto.
- Digital Image Processing, 3rd edition, by Rafael C. Gonzalez
- Programming PyTorch for Deep Learning
- Deep Learning for Coders with fastai and PyTorch
Courses
- Deep Learning Specialization - Andrew Ng
- TensorFlow by Udemy
- CS231n: Deep Learning for Computer Vision - Stanford
- Fundamentals of Computer Vision - Mubarak Shah
- PyTorch
Videos
- 3Blue1Brown - some combination of math and entertainment. Difficult problems made simple with great animations.
- StatQuest - breaks down the major methodologies into easy to understand pieces.
- Krish Naik
- How to read papers?
Web pages
- Kaggle mini courses - Gain the skills you need to do independent data science projects.
- TensorFlow tutorials
- PyTorch tutorials
- OpenCV documentations