To accelerate my own learning journey, I've started to compile a structured repository of Deep Learning Tutorials.
- Where needed, I've adapted the examples to work in Google Colab where Junyper Notebooks can be directly executed
- Most examples are forked from the original repositories
Key sources for the repository are
- The TensorFlow documentation for tensorflow.org
- The MIT course 6.S191: Introduction to Deep Learning
- The Udacity Deep Learning courses
- The Book Deep Reinforcement Learning Hands-On by Maxim Lapan
- Very compact Tensorflow example, or with different network parameters
- More elaborate MNIST implementation with very good tutorial