Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python
Abhishek Nandy, Manisha Biswas
- 出版商: Apress
- 出版日期: 2017-12-08
- 售價: $1,730
- 貴賓價: 9.5 折 $1,644
- 語言: 英文
- 頁數: 167
- 裝訂: Paperback
- ISBN: 1484232844
- ISBN-13: 9781484232842
-
相關分類:
DeepLearning 深度學習、Python、Reinforcement 強化學習、TensorFlow
立即出貨 (庫存 < 4)
買這商品的人也買了...
-
深入淺出 Python (Head First Python)$780$663 -
精通 Python｜運用簡單的套件進行現代運算 (Introducing Python: Modern Computing in Simple Packages)$780$616 -
流暢的 Python｜清晰、簡潔、有效的程式設計 (Fluent Python)$980$774 -
$1,440Deep Learning: A Practitioner's Approach (Paperback) -
Python 計算機視覺編程 (Programming Computer Vision with Python)$414$393 -
資料智慧化：利用資料科學，將資訊化為創見$480$408 -
Deep Learning (Hardcover)$1,650$1,617 -
Deep Learning for Medical Image Analysis$3,800$3,610 -
$1,080Hands-On Machine Learning with Scikit-Learn and TensorFlow (Paperback) -
$653深度學習、優化與識別 (Deep Learning,Optimization and Recognition) -
$857深度學習 (Deep Learning) -
Deep Learning｜用 Python 進行深度學習的基礎理論實作$580$458 -
$403深度學習與計算機視覺 : 算法原理、框架應用與代碼實現 (Deep Learning & Computer Vision:Algorithms and Examples) -
$1,440Deep Learning with Python (Paperback) -
Practical Reinforcement Learning$1,490$1,416 -
演算法圖鑑：26種演算法 + 7種資料結構，人工智慧、數據分析、邏輯思考的原理和應用 step by step 全圖解$450$356 -
$454黑客大曝光：工業控制系統安全 (Hacking Exposed Industrial Control Systems: ICS and SCADA Security Secrets & Solutions) -
修改軟件的藝術 : 構建易維護代碼的 9條最佳實踐 (Beyond Legacy Code: Nine Practices to Extend the Life (and Value) of Your Software)$330$314 -
Reinforcement Learning with Tensorflow: Learn the art of designing self-learning systems with TensorFlow and OpenAI Gym$1,600$1,520 -
Python GUI 程式設計：PyQt5 實戰$690$538 -
$798Deep Reinforcement Learning Hands-On -
深入淺出 Android 開發, 2/e (Head First Android Development: A Brain-Friendly Guide, 2/e)$1,200$948 -
Learning Kali Linux: Security Testing, Penetration Testing, and Ethical Hacking$1,568$1,485 -
初探深度學習｜使用 TensorFlow (TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning)$480$379 -
Keras Reinforcement Learning Projects$1,600$1,520
相關主題
商品描述
Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You’ll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process.
Reinforcement Learning discusses algorithm implementations important for reinforcement learning, including Markov’s Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before looking at Open AI Gym. You’ll then learn about Swarm Intelligence with Python in terms of reinforcement learning.
The last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. There’s also coverage of Keras, a framework that can be used with reinforcement learning. Finally, you'll delve into Google’s Deep Mind and see scenarios where reinforcement learning can be used.
What You'll Learn
- Absorb the core concepts of the reinforcement learning process
- Use advanced topics of deep learning and AI
- Work with Open AI Gym, Open AI, and Python
- Harness reinforcement learning with TensorFlow and Keras using Python
Who This Book Is For
Data scientists, machine learning and deep learning professionals, developers who want to adapt and learn reinforcement learning.
