Book Image

Artificial Intelligence in 3 Hours [Video]

By : Luka Anicin
4 (1)
Book Image

Artificial Intelligence in 3 Hours [Video]

4 (1)
By: Luka Anicin

Overview of this book

<p>What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common? They are all complex real-world problems being solved with applications of intelligence (AI). This course provides you with a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.</p> <p>In this course, you will progress to advanced AI techniques and concepts, and work on real-life datasets on how training works, model evaluation and how to process their first dataset in Supervised and Unsupervised Learning. You will be introduced to neural networks, machine Learning, and Deep Learning. You will understand the concept of Artificial Intelligence and how it is applicable in the enterprise context. You will then cover the basics of machine learning relate how Deep Learning and AI fits with them.</p> <p>Finally, you will see understand, Deep Reinforcement Learning and will be able to implement AI in your applications.</p> <h1>Style and Approach</h1> <p>A comprehensive course that takes you through AI in 3 hours. It is packed with step by step instructions and working examples.</p>
Table of Contents (5 chapters)
Chapter 5
Working With Deep Reinforcement Learning
Content Locked
Section 9
Game Playing with the Trained Model
Now that we have everything prepared, it is time to complete our code with the training loop and finally use our Deep Q Network in the chosen game. The goal of this video is just that, training the network and using it to play the CartPole game. - Choosing training parameters for - Implementing the training loop - Watching our model playing the game and checking its results