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)

Defining a CNN

This section describes the basic components of a CNN. 01_CNN_SRATEGY_MODEL.py will illustrate the basic CNN components the chapter used to build the case study model for a food-processing conveyor belt. CNNs constitute one of the pillars of deep learning (multiple layers and neurons).

In this chapter, a Keras neural network written in Python will be running on top of TensorFlow. If you do not have Python or do not wish to program, the chapter is self-contained with graphs and explanations.

Defining a CNN

A convolutional neural network takes an image, for example, and processes it until it can be interpreted.

For example, imagine you have to represent the sun with an ordinary pencil and a piece of paper. It...