Python深度学习 (Deep Learning with Python) [美] 弗朗索瓦·肖莱(Francois Chollet) 著 项目说明 目录下代码文件名前缀表示对应于Deep Learning with Python的中文译本 《Python 深度学习》的相应章节,难度循序渐进。代码中使用中文注释。 源代码可以参考官方Jupyter Notebook的GitHub项目 ...
With Python Deep Learning Second Edition, you’ll explore deep learning, and learn how to put machine learning to use in your projects. This book covers the following exciting features: Grasp the mathematical theory behind neural networks and deep learning processes Investigate and resolve computer ...
这本书是介绍深度强化学习的,使用python,非常新,2020年出版的,761页,github有代码,貌似没有中文版。 介绍深度学习的书籍有很多,比如Richard Shutton的Reinforcement Learning, An Introduction, 2nd edition,作者是业界大牛,他的学生也是大牛。不过他属于value iteration流派,deep mind就是这个流派,deep mind老板是他的...
MachineLearningModel MacroInternal MacroPrivate MacroProtected MacroPublic MacroSealed MacroShortcut MageProduct MagicWand MainMenuControl Makefile MakefileApplication MakeSameHeight ManageCounterSets ManifestFile ManualTest ManyToMany MapInternal MapItemInternal MapItemPrivate MapItemProtected MapItemPublic MapItemSe...
Edition : 2nd Language : English ISBN-13 : 9781838823412 Vendor : Google Category : Data Languages : Python Concepts : Deep Learning Tools : Keras Frequently bought together Deep Learning with TensorFlow 2 and Keras Dec 2019 646 pages eBook $20.98 $29.99 ADD TO CART Advanced ...
二. Python语言的DRL程序包: 基于TensorFlow: 1. 软件包名称:devsisters/DQN-tensorflow 实现算法:DQN 推荐指数(★★★) 相关论文:Human-Level Control through Deep Reinforcement Learning 2. 软件包名称:gliese581gg/DQN_tensorflow 实现算法:DQN 推荐指数(★★) ...
you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python follows a structured and comprehensive three-tiered approach packed with hands-on examples and code. Part 1 focuses on understanding machine learning concepts and ...
经典书籍:Reinforcement Learning: An Introduction (2nd Edition) 论文集,覆盖面比较广,需要一定基础:Reinforcement Learning: State-of-the-Art 两个非常全的论文资料集合: GitHub - junhyukoh/deep-reinforcement-learning-papers: A list of recent papers regarding deep reinforcement learning ...
Here, we developed DISC, a novel Deep learning Imputation model with semi-supervised learning (SSL) for Single Cell transcriptomes. DISC integrates an AE and a recurrent neural network (RNN) and uses SSL to train model parameters. SSL enables DISC to learn the structure of genes and cells fro...
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math About the book With significant enhancement in the quality and quantity of algorithms in recent years, this second edition of Hands-On Reinforcement Learning with Python has been...