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Artificial Intelligence A-Z : Learn How To Build An AI

Video Introducing this tutorial


Welcome to the course! :
Why AI?
Introduction
Where to get the Materials
Some Additional Resources!!

---------- Part 0 - Fundamentals Of Reinforcement Learning ---------- :
Welcome to Part 0 - Fundamentals of Reinforcement Learning

Q-Learning Intuition :
Plan of Attack
What is reinforcement learning?
The Bellman Equation
The "Plan"
Markov Decision Process
Policy vs Plan
Adding a "Living Penalty"
Q-Learning Intuition
Temporal Difference
Q-Learning Visualization

---------- Part 1 - Self-Driving Car (Deep Q-Learning) ---------- :
Welcome to Part 1 - Self-Driving Car (Deep Q-Learning)

Deep Q-Learning Intuition :
Plan of Attack
Deep Q-Learning Intuition - Learning
Deep Q-Learning Intuition - Acting
Experience Replay
Action Selection Policies

Installation for Part 1 :
Plan of Attack (Practical Tutorials)
Where to get the Materials
Windows Option 1: End-to-End installation steps
Windows Option 2 - Part A: Installing Ubuntu on Windows
Windows Option 2 - Part B: Installing PyTorch and Kivy on your Ubuntu VM
PyTorch Updated Installation Tips
Mac or Linux: Installing Anaconda
Mac or Linux: Installing PyTorch and Kivy
Kivy Installation Walk Through Mac
Kivy Installation Walk Through Linux
Getting Started

Creating the environment :
Self Driving Car - Step 1
Self Driving Car - Step 2

Building an AI :
Self Driving Car - Step 3
Self Driving Car - Step 4
Self Driving Car - Step 5
Self Driving Car - Step 6
Self Driving Car - Step 7
Self Driving Car - Step 8
Self Driving Car - Step 9
Self Driving Car - Step 10
Self Driving Car - Step 11
Self Driving Car - Step 12
Self Driving Car - Step 13
Self Driving Car - Step 14
Self Driving Car - Step 15
Self Driving Car - Step 16

Playing with the AI :
Self Driving Car - Level 1
Self Driving Car - Level 2
Self Driving Car - Level 3
Self Driving Car - Level 4
Challenge Solutions

---------- Part 2 - Doom (Deep Convolutional Q-Learning) ---------- :
Welcome to Part 2 - Doom (Deep Convolutional Q-Learning)

Deep Convolutional Q-Learning Intuition :
Plan of Attack
Deep Convolutional Q-Learning Intuition
Eligibility Trace

Installation for Part 2 :
Where to get the Materials
Installing Open AI Gym and ppaquette
Installing Open AI Gym Walk Through (Mac Version)
Installing Open AI Gym Walk Through (Ubuntu Version)

Building an AI :
Doom - Step 1
Doom - Step 2
Doom - Step 3
Doom - Step 4
Doom - Step 5
Doom - Step 6
Doom - Step 7
Doom - Step 8
Doom - Step 9
Doom - Step 10
Doom - Step 11
Doom - Step 12
Doom - Step 13
Doom - Step 14
Doom - Step 15
Doom - Step 16
Doom - Step 17

Playing with the AI :
Watching our AI play Doom

---------- Part 3 - Breakout (A3C) ---------- :
Welcome to Part 3 - Breakout (A3C)

A3C Intuition :
Plan of Attack
The three A's in A3C
Actor-Critic
Asynchronous
Advantage
LSTM Layer

Installation for Part 3 :
Installing OpenCV

Building an AI :
Breakout - Step 1
Breakout - Step 2
Breakout - Step 3
Breakout - Step 4
Breakout - Step 5
Breakout - Step 6
Breakout - Step 7
Breakout - Step 8
Breakout - Step 9
Breakout - Step 10
Breakout - Step 11
Breakout - Step 12
Breakout - Step 13
Breakout - Step 14
Breakout - Step 15

Annex 1: Artificial Neural Networks :
What is Deep Learning?
Plan of Attack
The Neuron
The Activation Function
How do Neural Networks work?
How do Neural Networks learn?
Gradient Descent
Stochastic Gradient Descent
Backpropagation

Annex 2: Convolutional Neural Networks :
Plan of Attack
What are convolutional neural networks?
Step 1 - Convolution Operation
Step 1(b) - ReLU Layer
Step 2 - Pooling
Step 3 - Flattening
Step 4 - Full Connection
Summary
Softmax & Cross-Entropy

Bonus Lectures :
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