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)

Using TensorBoard to design the architecture of your machine learning and deep learning solutions

FNN_XOR_Tensorflow_tensorbard_graph_only.py contains no program in the traditional sense. It contains an essential aspect of developing machine learning and neural networks: the architecture. This program is overloaded with basic graph summaries to grasp the core concept of the data flow graph. In subsequent programs in this book, the summaries will be less literal.

Master the architecture of a machine learning and deep learning program and you'll master your solutions.

Designing the architecture of the data flow graph

First import TensorFlow with the following code:

import tensorflow as tf

Then use the following code to...