Hi everyone,
Welcome again to the course.
UPDATE: This course was just updated with new ChatGPT / GPT-4 lectures. Look out for it :)
It's important to take a first step back now to clearly visualize the structure of this course, which is the following:
Part 0 - Fundamentals of Reinforcement Learning
- Q-Learning Intuition
- Q-Learning Visualization
Part 1 - Deep Q-Learning
- Deep Q-Learning Intuition
- Deep Q-Learning Implementation
- Deep Q-Learning Visualization
Part 2 - Deep Convolutional Q-Learning
- Deep Convolutional Q-Learning Intuition
- Deep Convolutional Q-Learning Implementation
- Deep Convolutional Q-Learning Visualization
Part 3 - A3C
- A3C Intuition
- A3C Implementation
- A3C Visualization
Annex 1: Artificial Neural Networks
Annex 2: Convolutional Neural Networks
In each of these parts you will get:
Intuition Lectures
Code Templates
Additional Resource
You can find all the code templates and additional resource on the following link:
https://www.tfcertification.com/pages/artificial-intelligence
Inside, you can get the Folder Structure of the course in Section 1, which is the whole course folder containing our three modules in empty sub-folders. Then you can populate them with either your own codes or the code templates, as you progress in the course.
We wish you a great AI journey!
Cheers,
Kirill & Hadelin