收起左侧

Hands-on Reinforcement Learning with TensorFlow

[复制链接]
查看: 11|回复: 1

网站编辑

Rank: 8Rank: 8

发表于 2018-11-4 17:31:06 | 显示全部楼层 |阅读模式

Hands-on Reinforcement Learning with TensorFlow
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 42M | 796 MB
Genre: eLearning | Language: English
You’ve probably heard of Deepmind’s AI playing games and getting really good at playing them (like AlphaGo beating the Go world champion). Such agents are built with the help of a paradigm of machine learning called “Reinforcement Learning” (RL).
In this course, you’ll walk through different approaches to RL. You’ll move from a simple Q-learning to a more complex, deep RL architecture and implement your algorithms using Tensorflow’s Python API. You’ll be training your agents on two different games in a number of complex scenarios to make them more intelligent and perceptive.
By the end of this course, you’ll be able to implement RL-based solutions in your projects from scratch using Tensorflow and Python.
The code bundle for this video course is available at: https://github.com/PacktPublishing/-Hands-on-Reinforcement-Learning-with-TensorFlow

Password/解压密码-0daydown
Download nitroflare
http://nitroflare.com/view/0A32463D78AC261/Hands-on_Reinforcement_Learning_with_TensorFlow__Video_.part1.rar
http://nitroflare.com/view/C7F48E0D24F43D3/Hands-on_Reinforcement_Learning_with_TensorFlow__Video_.part2.rar
游客,本付费内容需要支付 20CG币 才能浏览   CG币充值:【点击充值CG币】
VIP会员免费下载本资源:【点击充值VIP】(若链接失效请联系客服!)购买
回复

使用道具 举报

永久VIP

Rank: 9Rank: 9Rank: 9

发表于 2018-11-6 18:53:29 来自手机 | 显示全部楼层
精品,很好!我喜欢 很受益
回复 支持 反对

使用道具 举报

您需要登录后才可以回帖 登录 | 立即注册

本版积分规则

精彩图文
QQ在线客服(工作时间:9:00-22:00)
QQ:2900020342
扫一扫关注我们

Copyright   ©2015-2016  ABC素材网  Powered by©Discuz!  技术支持:ab素材网    安全联盟  ( 新ICP备15001038号-2 )