Book Image

Artificial Intelligence with Python - Second Edition

By : Prateek Joshi
Book Image

Artificial Intelligence with Python - Second Edition

By: Prateek Joshi

Overview of this book

Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.
Table of Contents (26 chapters)
24
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25
Index

Summary

In this chapter, we continued to learn about deep learning and learned the basics of RNNs. We then discussed what the basic concepts of the architecture of an RNN are and why these concepts are important. After learning the basics, we looked at some of the potential uses of RNNs and landed on using it to implement a language model. Initially we implemented the language model using basic techniques and we started adding more and more complexity to the model to understand higher-level concepts.

We hope you are as excited as we are to go to the next chapter where we will learn how to create intelligent agents using reinforcement learning.