京东JD.COM图书频道为您提供《英文原版 Math for Deep Learning 深度学习中的数学 了解神经网络需要知道的知识 Ronald T. Kneusel 英文版 进口英语原版书籍》在线选购,本书作者:,出版社:No Starch Press。买图书,到京东。网购图书,享受最低优惠折扣!
Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits. With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning. ...
【新书:深度学习的数学】《Math for Deep Learning: What You Need to Know to Understand Neural Networks》by Ronald T. Kneusel http://t.cn/A6JzBx8Z #机器学习#
We present a new project for using deep learning (DL) for that purpose. It will explore a number of DL and representation-learning models, which have shown superior performance in applications that involve sequences of data. As math and science involve sequences of text, symbols and equations...
目前的AI基本想法来自“流形分布定律”。如果把AI看成是某种自然现象的话,描述它的理论肯定有公理,公理之上还有定理。数据科学中的公理叫做流形分布定律。 流形分布定律:自然界中同一类别的高维数据(例如图像),往往集中在某个低维流形附近。 这里的主要思想是,即使我们的现实世界数据是高维的,实际上也存在一些低维表示...
Li, Qianxiao, Long Chen, and Cheng Tai. "Maximum Principle Based Algorithms for Deep Learning."arXiv preprint arXiv:1710.09513(2017). 推荐语:本研究讨论了如何用现代控制理论中的庞特里亚金最大原理对深度神经网络的优化过程进行建模。 E,...
首发于EssentialMathForAI 切换模式写文章 登录/注册Essential Math for AI(机翻)-第二章(1/3) athlan20 程序员 创作声明:包含 AI 辅助创作 第2章 数据,数据,数据 也许如果我知道这些数据从哪里来,为什么存在,我就会知道它们都走向何方,为什么会这样。 数据是驱动大多数AI系统的燃料。在本章中,我们将了解如何...
— Bernhard Schölkopf, Director, Max Planck Institute for Intelligent Systems "Dive into Deep Learning strikes an excellent balance between hands-on learning and in-depth explanation. I've used it in my deep learning course and recommend it to anyone who wants to develop a thorough and pract...
Connectionists (“Deep Learning”, Neural Network) Bayesians (Probability, Inference Rule) Analogizers (Similar Pattern) Symbolists (Logic) Evolutionaries (Survival the fittest ) Notes: 1. Bill Gates recommends this excellent book for 2018 reading, also found it on Chinese President’s Xi JingPi...
内容所属专栏 EssentialMathForAI EssentialMathForAI机翻 订阅专栏 深度学习(Deep Learning) 赞同添加评论 分享喜欢收藏申请转载 写下你的评论... 还没有评论,发表第一个评论吧 推荐阅读 对比sklearn中不同的归一化方法 引言sklearn的预处理库中有很多的Scaler方法,那么我们到底应该...