Book Image

Artificial Intelligence By Example

By : Denis Rothman
Book Image

Artificial Intelligence By Example

By: Denis Rothman

Overview of this book

Artificial intelligence has the potential to replicate humans in every field. Artificial Intelligence By Example serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies. Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks. You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own. By the end of this book, you will have understood the fundamentals of AI and worked through a number of case studies that will help you develop your business vision.
Table of Contents (19 chapters)

Determining what and how to measure

In Chapter 2, Think Like a Machine, the system of McCulloch-Pitts neurons generated a vector with a one-hot function in the following process.

R, the reward vector, represents the input of the reinforcement learning program and needs to be measured.

This chapter deals with an approach designed to build a reward matrix based on the company data. It relies on the data, weights, and biases provided. When deep learning forward feedback neural networks based on perception are introduced (Chapter 4, Become an Unconventional Innovator), a system cannot be content with a training set. Systems have a natural tendency to learn training sets through backpropagation. In this case, one set of company data is not enough.

In real-life company projects, a system will not be validated until tens of thousands of results have been produced. In some cases, a...