Deep Learning Practice【开篇】】的更多相关文章

Chapter 0 初入深度学习实战 最近一直在学习深度学习相关的知识,看文献,看博客,看书,与别人讨论,等等,但是总觉得这样的学习只是停留在表面,无法去深入的学习到深度学习的内幕.于是,决定开始深度学习的实战,鉴于之前在Windows平台下面做过BP算法的program,想找个Windows平台下开源框架来学习.各种搜索后,最终决定学习 Caffe (Convolutional Architecture for Fast Feature Embedding) 框架.这里顺便为知乎打个广告,在搜…
Kevin Zakka's Blog About Nuts and Bolts of Applying Deep Learning Sep 26, 2016 This weekend was very hectic (catching up on courses and studying for a statistics quiz), but I managed to squeeze in some time to watch the Bay Area Deep Learning School …
最近在学深度学习相关的东西,在网上搜集到了一些不错的资料,现在汇总一下: Free Online Books  by Yoshua Bengio, Ian Goodfellow and Aaron Courville Neural Networks and Deep Learning42 by Michael Nielsen Deep Learning27 by Microsoft Research Deep Learning Tutorial23 by LISA lab, University…
HOME ABOUT CONTACT SUBSCRIBE VIA RSS   DEEP LEARNING FOR ENTERPRISE Distributed Deep Learning, Part 1: An Introduction to Distributed Training of Neural Networks Oct 3, 2016 3:00:00 AM / by Alex Black and Vyacheslav Kokorin Tweet inShare27   This pos…
FastML Machine learning made easy RSS Home Contents Popular Links Backgrounds About Deep learning architecture diagrams 2016-09-30 Like a wild stream after a wet season in African savanna diverges into many smaller streams forming lakes and puddles,…
Why Deep Learning Works – Key Insights and Saddle Points A quality discussion on the theoretical motivations for deep learning, including distributed representation, deep architecture, and the easily escapable saddle point. By Matthew Mayo. This post…
转自:https://www.quora.com/What-are-the-advantages-of-different-classification-algorithms There are a number of dimensions you can look at to give you a sense of what will be a reasonable algorithm to start with, namely: Number of training examples Dim…
Machine and Deep Learning with Python Education Tutorials and courses Supervised learning superstitions cheat sheet Introduction to Deep Learning with Python How to implement a neural network How to build and run your first deep learning network Neur…
Deep Learning and the Triumph of Empiricism By Zachary Chase Lipton, July 2015 Deep learning is now the standard-bearer for many tasks in supervised machine learning. It could also be argued that deep learning has yielded the most practically useful…
A Full Hardware Guide to Deep Learning Deep Learning is very computationally intensive, so you will need a fast CPU with many cores, right? Or is it maybe wasteful to buy a fast CPU? One of the worst things you can do when building a deep learning sy…