You're reading from Artificial Intelligence with Python Your complete guide to building intelligent apps using Python 3.x

Product type Paperback

Published in Jan 2020

Publisher Packt

ISBN-13 9781839219535

Length 618 pages

Edition 2nd Edition

Languages

Python

Tools

TensorFlow

Concepts

Artificial Intelligence

Authors (2):

Prateek Joshi

Alberto Artasanchez

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Table of Contents (26) Chapters

Preface

1. Introduction to Artificial Intelligence

2. Fundamental Use Cases for Artificial Intelligence FREE CHAPTER

3. Machine Learning Pipelines

4. Feature Selection and Feature Engineering

5. Classification and Regression Using Supervised Learning

6. Predictive Analytics with Ensemble Learning

7. Detecting Patterns with Unsupervised Learning

8. Building Recommender Systems

9. Logic Programming

10. Heuristic Search Techniques

11. Genetic Algorithms and Genetic Programming

12. Artificial Intelligence on the Cloud

13. Building Games with Artificial Intelligence

14. Building a Speech Recognizer

15. Natural Language Processing

16. Chatbots

17. Sequential Data and Time Series Analysis

18. Image Recognition

19. Neural Networks

20. Deep Learning with Convolutional Neural Networks

21. Recurrent Neural Networks and Other Deep Learning Models

22. Creating Intelligent Agents with Reinforcement Learning

23. Artificial Intelligence and Big Data

24. Other Books You May Enjoy

25. Index

Architecture of RNNs

The main concept behind an RNN is to take advantage of previous information in a sequence. In a traditional neural network, it is assumed that all inputs and outputs are independent of one another. In some domains and use cases, this assumption is not correct, and we can take advantage of this interconnectedness.

I will use a personal example. I believe that in many cases, I can predict what my wife will say next based on a couple initial sentences. I tend to believe that I have a high accuracy rate with my predictive ability. That said, if you ask my wife, she may tell you a quite different story! A similar concept is being used by Google's email service, Gmail. If you are a user of the service, you will have noticed that, from 2019, it started making suggestions when it thinks it can complete a sentence. If it guesses right, all you do is hit the tab key and the sentence is completed. If it doesn't, you can continue typing and it might...