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)

Domain learning

This section on domain learning builds a bridge between classic transfer learning, as described previously, and another use of domain learning I found profitable in corporate projects: teaching a machine a concept (CRLMM). The chapter focuses on teaching a machine to learn to recognize a gap in situations other than at the food processing company.

How to use the programs

You can read the chapter first to grasp the concepts, or play with the programs first. In any case, CNN_TDC_STRATEGY.py loads trained models (you do not have to train them again for this chapter) and CNN_CONCEPT_STRATEGY.py trains the models.

The...