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Machine Learning Solutions

You're reading from   Machine Learning Solutions Expert techniques to tackle complex machine learning problems using Python

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788390040
Length 566 pages
Edition 1st Edition
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Author (1):
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Jalaj Thanaki Jalaj Thanaki
Author Profile Icon Jalaj Thanaki
Jalaj Thanaki
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Table of Contents (19) Chapters Close

Machine Learning Solutions
Foreword
Contributors
Preface
1. Credit Risk Modeling 2. Stock Market Price Prediction FREE CHAPTER 3. Customer Analytics 4. Recommendation Systems for E-Commerce 5. Sentiment Analysis 6. Job Recommendation Engine 7. Text Summarization 8. Developing Chatbots 9. Building a Real-Time Object Recognition App 10. Face Recognition and Face Emotion Recognition 11. Building Gaming Bot List of Cheat Sheets Strategy for Wining Hackathons Index

Building the Pong gaming bot


In this section, we will be looking at how we can build a gaming bot that can learn the game of Pong. Before we start, we will look at the approach and concepts that we will be using for building the Pong gaming bot.

Understanding the key concepts

In this section, we will be covering some aspects of building the Pong game bot, which are as follows:

  • Architecture of the gaming bot

  • Approach for the gaming bot

Architecture of the gaming bot

In order to develop the Pong gaming bot, we are choosing a neural-network-based approach. The architecture of our neural network is crucial. Let's look at the architectural components step by step:

  1. We take the gaming screen as the input and preprocess it as per the DQN algorithm.

  2. We pass this preprocessed screen to an neural network (NN.)

  3. We use a gradient descent to update the weights of the NN.

  4. Weight [1]: This matrix holds the weights of pixels passing into the hidden layer. The dimension will be [200 x 80 x 80] – [200 x 6400].

  5. Weight...

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