Deep Learning, by Ian Goodfellow, Yoshua Bengio and Aaron Courville, was originally released in 2016 as one of the first books dedicated to the at-the-time exploding field of deep learning. Not only was it a first, it was also written by a team of standout researchers at the forefront o...
What makes Dive into Deep Learning (D2K) unique is that we went so far with the idea of *learning by doing* that the entire book itself consists of runnable code. We tried to combine the best aspects of a textbook (clarity and math) with the best aspects of hands-on tutorials (pract...
转自:机器学习(Machine Learning)&深度学习(Deep Learning)资料《Brief History of Machine Learning》介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机、神经网络、决策树、SVM、Adaboost到随机森林、Deep Le
Deep Learning in Neural Networks- This technical report provides an overview of deep learning and related techniques with a special focus on developments in recent years. 主要看点是深度学习近两年(2012-2014)的进展情况。 Tutorials UFLDL Tutorial 120 Deep Learning Tutorial from Stanford:斯坦福的官方Tutori...
介绍:Free Ebook:数据挖掘基础及最新进展. * [《The Deep Learning Revolution: Rethinking Machine Learning Pipelines》](http://www.infoq.com/presentations/deep-learning) 介绍:深度学习革命. * [《The Definitive Guide to Do Data Science for Good》](http://blog.datalook.io/definitive-guide-data-scien...
print includes eBook online + audio read and listen with subscription free or 50% off Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning’s common pitfalls and deliver adaptable model up...
素材来自:机器人视觉,机器学习研究会由谷歌大脑团队科学家 Ian Goodfellow, Yoshua Bengio and Aaron Courville撰写的《Deep Learning》已经发
《Deep Learning in Neural Networks: An Overview》 介绍:这是瑞士人工智能实验室Jurgen Schmidhuber写的最新版本《神经网络与深度学习综述》本综述的特点是以时间排序,从1940年开始讲起,到60-80年代,80-90年代,一直讲到2000年后及最近几年的进展。涵盖了deep learning里各种tricks,引用非常全面. ...
《Free ebook: Microsoft Azure Essentials: Azure Machine Learning》 介绍:免费书:Azure ML使用精要. 《A Deep Learning Tutorial: From Perceptrons to Deep Networks》 介绍:A Deep Learning Tutorial: From Perceptrons to Deep Networks. 《Machine Learning is Fun! - The world’s easiest introduction to Ma...
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