You're reading from Artificial Intelligence By Example Acquire advanced AI, machine learning, and deep learning design skills

Product type Paperback

Published in Feb 2020

Publisher Packt

ISBN-13 9781839211539

Length 578 pages

Edition 2nd Edition

Languages

Python

Tools

TensorFlow

Concepts

Artificial Intelligence

Author (1):

Denis Rothman

View More author details

Table of Contents (23) Chapters

Preface

1. Getting Started with Next-Generation Artificial Intelligence through Reinforcement Learning

2. Building a Reward Matrix – Designing Your Datasets FREE CHAPTER

3. Machine Intelligence – Evaluation Functions and Numerical Convergence

4. Optimizing Your Solutions with K-Means Clustering

5. How to Use Decision Trees to Enhance K-Means Clustering

6. Innovating AI with Google Translate

7. Optimizing Blockchains with Naive Bayes

8. Solving the XOR Problem with a Feedforward Neural Network

9. Abstract Image Classification with Convolutional Neural Networks (CNNs)

10. Conceptual Representation Learning

11. Combining Reinforcement Learning and Deep Learning

12. AI and the Internet of Things (IoT)

13. Visualizing Networks with TensorFlow 2.x and TensorBoard

14. Preparing the Input of Chatbots with Restricted Boltzmann Machines (RBMs) and Principal Component Analysis (PCA)

15. Setting Up a Cognitive NLP UI/CUI Chatbot

16. Improving the Emotional Intelligence Deficiencies of Chatbots

17. Genetic Algorithms in Hybrid Neural Networks

18. Neuromorphic Computing

19. Quantum Computing

20. Answers to the Questions

21. Other Books You May Enjoy

22. Index

Discover a world of opportunities with Google Translate

Starting with Google Translate to explore NLP is a good way to prepare to use NLP in web solutions. Any disruptive web-based solution must be able to run in at least a few languages. You will need to master NLP in several languages to implement a chatbot, a translation solution, and online information sites such as Wikipedia.

Google provides many resources to use, explore, or improve Google Translate. Getting a Python code to run and then assess the quality of the results will prove vital before implementing it for crucial translations in a company. Let's get Google Translate running.

Getting started

Google's developers' API client library page is as follows: https://developers.google.com/api-client-library/. On this page, you will see libraries for many languages: Java, PHP, .NET, JavaScript, Objective-C, Dart, Ruby and more.

Then, go to the Python resources and follow the instructions to...