RLSLOG is for sale
Warning! Do not download before hiding your IP with a VPN!
Your IP Address is .   Location is
Your Internet Provider can see what you are downloading!  Hide your IP ADDRESS with a VPN!
We strongly recommend using a reliable VPN client to hide yourself on the Internet. It's FREE!
Hide me now!
Releaselog

Hands-On Q-Learning with Python-P2P

Q-learning is a machine learning algorithm used to solve optimization problems in artificial intelligence (AI). It is one of the most popular fields of study among AI researchers.

This book starts off by introducing you to reinforcement learning and Q-learning, in addition to helping you get familiar with OpenAI Gym as well as frameworks such as Keras and TensorFlow.

A few chapters into the book, you will gain insights into model-free Q-learning and use deep Q-networks and double deep Q-networks to solve complex problems. This book will guide you in exploring use cases such as self-driving vehicles and OpenAI Gym’s CartPole problem. You will also learn how to tune and optimize Q-networks and their hyperparameters. As you progress, you will understand the reinforcement learning approach to solving real-world problems. You will also explore how to use Q-learning and related algorithms in real-world applications such as scientific research. Toward the end, you’ll gain a sense of what’s in store for reinforcement learning.
By the end of this book, you will be equipped with the skills you need to solve reinforcement learning problems using Q-learning algorithms with OpenAI Gym, Keras, and TensorFlow.

Mon image

Hands-On Q-Learning with Python: Practical Q-learning with OpenAI Gym, Keras, and TensorFlow
English | April 19, 2019 | ISBN: 1789345804 | 212 Pages | PDF | 8.6 MB
Download FILEBONUS: PDF – NTi

Comments

Feel free to post your Hands-On Q-Learning with Python-P2P torrent, subtitles, samples, free download, quality, NFO, rapidshare, depositfiles, uploaded.net, rapidgator, filefactory, netload, crack, serial, keygen, requirements or whatever-related comments here. Don't be rude (permban), use only English, don't go offtopic and read FAQ before asking a question. Owners of this website aren't responsible for content of comments.

No comments yet. Be the first.

Leave a reply