*** AS SEEN ON KICKSTARTER ***
Learn key AI concepts and intuition training to get you quickly up to speed with all things AI. Covering:
- How to start building AI with no previous coding experience using Python
- How to merge AI with OpenAI Gym to learn as effectively as possible
- How to optimize your AI to reach its maximum potential in the real world
Here is what you will get with this course:
1. Complete beginner to expert AI skills – Learn to code self-improving AI for a range of purposes. In fact, we code together with you. Every tutorial starts with a blank page and we write up the code from scratch. This way you can follow along and understand exactly how the code comes together and what each line means.
2. Code templates – Plus, you’ll get downloadable Python code templates for every AI you build in the course. This makes building truly unique AI as simple as changing a few lines of code. If you unleash your imagination, the potential is unlimited.
3. Intuition Tutorials – Where most courses simply bombard you with dense theory and set you on your way, we believe in developing a deep understanding for not only what you’re doing, but why you’re doing it. That’s why we don’t throw complex mathematics at you, but focus on building up your intuition in coding AI making for infinitely better results down the line.
4. Real-world solutions – You’ll achieve your goal in not only 1 game but in 3. Each module is comprised of varying structures and difficulties, meaning you’ll be skilled enough to build AI adaptable to any environment in real life, rather than just passing a glorified memory “test and forget” like most other courses. Practice truly does make perfect.
5. In-course support – We’re fully committed to making this the most accessible and results-driven AI course on the planet. This requires us to be there when you need our help. That’s why we’ve put together a team of professional Data Scientists to support you in your journey, meaning you’ll get a response from us within 48 hours maximum.
---------- 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
-
28Plan of Attack
-
29Where to get the Materials
-
30Getting Started
-
31Self Driving Car - Step 1
-
32Self Driving Car - Step 2
-
33Self Driving Car - Step 3
-
34Self Driving Car - Step 4
-
35Self Driving Car - Step 5
-
36Self Driving Car - Step 6
-
37Self Driving Car - Step 7
-
38Self Driving Car - Step 8
-
39Self Driving Car - Step 9
-
40Self Driving Car - Step 10
-
41Self Driving Car - Step 11
-
42Self Driving Car - Step 12
-
43Self Driving Car - Step 13
-
44Self Driving Car - Step 14
-
45Self Driving Car - Step 15
-
46Self Driving Car - Step 16
---------- Part 2 - Deep Convolutional Q-Learning ----------
Deep Convolutional Q-Learning Intuition
Deep Convolutional Q-Learning Implementation
Deep Convolutional Q-Learning Visualization
-
56Plan of Attack
-
57Where to get the Materials
-
58Doom - Step 1
-
59Doom - Step 2
-
60Doom - Step 3
-
61Doom - Step 4
-
62Doom - Step 5
-
63Doom - Step 6
-
64Doom - Step 7
-
65Doom - Step 8
-
66Doom - Step 9
-
67Doom - Step 10
-
68Doom - Step 11
-
69Doom - Step 12
-
70Doom - Step 13
-
71Doom - Step 14
-
72Doom - Step 15
-
73Doom - Step 16