TensorFlow 2 Reinforcement Learning Cookbook Over 50 Recipes to Help You Build, Train, and Deploy Learning Agents for Real-World Applications.
This cookbook will help you to gain a solid understanding of deep reinforcement learning (RL) algorithms with the help of concise, easy-to-follow implementations from scratch. You'll learn how to implement these algorithms with minimal code and develop AI applications to solve real-world and bu...
Saved in:
| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Birmingham :
Packt Publishing, Limited,
2021.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 1838985999 9781838985998 9781838982546 (pbk.) |
| Physical Description | 1 online resource (473 p.) |
Cover
| LEADER | 00000cam a2200000Mi 4500 | ||
|---|---|---|---|
| 001 | kn-on1232280486 | ||
| 003 | OCoLC | ||
| 005 | 20240717213016.0 | ||
| 006 | m o d | ||
| 007 | cr cn||||||||| | ||
| 008 | 210123s2021 xx o 000 0 eng d | ||
| 040 | |a EBLCP |b eng |c EBLCP |d UKAHL |d UKMGB |d OCLCO |d OCLCF |d N$T |d OCLCO |d OCLCQ |d IEEEE |d OCLCO |d OCLCL | ||
| 020 | |a 1838985999 | ||
| 020 | |a 9781838985998 |q (electronic bk.) | ||
| 020 | |z 9781838982546 (pbk.) | ||
| 035 | |a (OCoLC)1232280486 | ||
| 100 | 1 | |a Palanisamy, Praveen. | |
| 245 | 1 | 0 | |a TensorFlow 2 Reinforcement Learning Cookbook |h [electronic resource] : |b Over 50 Recipes to Help You Build, Train, and Deploy Learning Agents for Real-World Applications. |
| 260 | |a Birmingham : |b Packt Publishing, Limited, |c 2021. | ||
| 300 | |a 1 online resource (473 p.) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 500 | |a Description based upon print version of record. | ||
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
| 520 | |a This cookbook will help you to gain a solid understanding of deep reinforcement learning (RL) algorithms with the help of concise, easy-to-follow implementations from scratch. You'll learn how to implement these algorithms with minimal code and develop AI applications to solve real-world and business problems using RL. | ||
| 505 | 0 | |a Table of Contents Developing building blocks for Deep RL using TensorFlow 2.x Implementing value-based, policy gradients and actor-critic Deep RL algorithms Implementing Advanced Deep RL algorithms RL in real-world: Building intelligent trading agents RL in Real-World: Building Stock Trading Agents RL in real-world: Building intelligent agents to complete your ToDos Deploying Deep RL Agents to the Cloud Building cross-platform (web, desktop, mobile) Deep-RL Apps using TensorFlow 2.x Distributed training and automated production deployment pipeline for Deep RL Apps. | |
| 590 | |a Knovel |b Knovel (All titles) | ||
| 630 | 0 | 0 | |a TensorFlow. |
| 650 | 0 | |a Machine learning. | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 776 | 0 | 8 | |i Print version: |a Palanisamy, Praveen |t TensorFlow 2 Reinforcement Learning Cookbook |d Birmingham : Packt Publishing, Limited,c2021 |z 9781838982546 |
| 856 | 4 | 0 | |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpTFRLC005/tensorflow-2-reinforcement?kpromoter=marc |y Full text |