Artificial Intelligence A-Z: Learn How To Build An AI
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Artificial Intelligence A-Z: Learn How To Build An AI at UDEMY Overview
Duration | 17 hours |
Total fee | ₹3,499 |
Mode of learning | Online |
Credential | Certificate |
Artificial Intelligence A-Z: Learn How To Build An AI at UDEMY Highlights
- Earn a certificate of completion from Udemy
- Learn from 3 downloadable resources & 20 articles
- Get full lifetime access of the course material
- Comes with 30 days money back guarantee
Artificial Intelligence A-Z: Learn How To Build An AI at UDEMY Course details
- For Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning
- Build an AI
- Understand the theory behind Artificial Intelligence
- Make a virtual Self Driving Car
- Make an AI to beat games
- Solve Real World Problems with AI
- Master the State of the Art AI models
- Q-Learning
- Deep Q-Learning
- Deep Convolutional Q-Learning
- A3C
- Learn key AI concepts and intuition training to get you quickly up to speed with all things AI
- 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
- 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
Artificial Intelligence A-Z: Learn How To Build An AI at UDEMY Curriculum
Welcome to the course!
Why AI?
Course Structure
BONUS: Learning Paths
Installing Anaconda
BONUS: Meet Your Instructors
Updates on Udemy Reviews
This PDF resource will help you a lot!
FAQBot!
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
Q-Learning Visualization
---------- Part 1 - Deep Q-Learning ----------
Welcome to Part 1 - 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
Deep Q-Learning Implementation
Plan of Attack
Where to get the Materials
Getting Started
Self Driving Car - Step 1
Self Driving Car - Step 2
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
Deep Q-Learning Visualization
Self Driving Car - Level 1
Self Driving Car - Level 2
Self Driving Car - Level 3
Self Driving Car - Level 4
Challenge Solutions
---------- Part 2 - Deep Convolutional Q-Learning ----------
Welcome to Part 2 - Deep Convolutional Q-Learning
Deep Convolutional Q-Learning Intuition
Plan of Attack
Deep Convolutional Q-Learning Intuition
Eligibility Trace
Deep Convolutional Q-Learning Implementation
Plan of Attack
Where to get the Materials
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
Deep Convolutional Q-Learning Visualization
Watching our AI play Doom
---------- Part 3 - A3C ----------
Welcome to Part 3 - A3C
A3C Intuition
Plan of Attack
The three A's in A3C
Actor-Critic
Asynchronous
Advantage
LSTM Layer
A3C Implementation
Plan of Attack
Where to get the Materials
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
A3C Visualization
Watching our AI play Breakout
THANK YOU bonus video
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
***YOUR SPECIAL BONUS***
SUPER COMBO - EARLY BIRD BONUSES
BONUS #1: AI Algorithms Cheatsheet
BONUS #2A: LaTeX Mini-Handbook
BONUS #2B: LaTeX Mini-Handbook - Video Walkthrough
BONUS 3: Exclusive AI Insights Video
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