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Deep learning Reading List

發布時間:2023/12/13 编程问答 37 豆豆
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本文轉自:?http://jmozah.github.io/links/

? ? ? ? ? ? ? ??http://www.datakit.cn/blog/2014/12/31/Deep_learning_Reading_List.html

文章來自J Mohamed Zahoor的深度學習閱讀書單。 Following is a growing list of some of the materials i found on the web for Deep Learning beginners.

Free Online Books

  • Deep Learning?by Yoshua Bengio, Ian Goodfellow and Aaron Courville
  • Neural Networks and Deep Learning?by Michael Nielsen
  • Deep Learning?by Microsoft Research
  • Deep Learning Tutorial?by LISA lab, University of Montreal
  • Courses

  • Machine Learning?by Andrew Ng in Coursera
  • Neural Networks for Machine Learning?by Geoffrey Hinton in Coursera
  • Neural networks class?by Hugo Larochelle from Université de Sherbrooke
  • Deep Learning Course?by CILVR lab @ NYU
  • Video and Lectures

  • How To Create A Mind?By Ray Kurzweil - Is a inspiring talk
  • Deep Learning, Self-Taught Learning and Unsupervised Feature Learning?By Andrew Ng
  • Recent Developments in Deep Learning?By Geoff Hinton
  • The Unreasonable Effectiveness of Deep Learning?by Yann LeCun
  • Deep Learning of Representations?by Yoshua bengio
  • Principles of Hierarchical Temporal Memory?by Jeff Hawkins
  • Machine Learning Discussion Group - Deep Learning w/ Stanford AI Lab?by Adam Coates
  • Making Sense of the World with Deep Learning?By Adam Coates
  • Demystifying Unsupervised Feature Learning?By Adam Coates
  • Visual Perception with Deep Learning?By Yann LeCun
  • Papers

  • ImageNet Classification with Deep Convolutional Neural Networks
  • Using Very Deep Autoencoders for Content Based Image Retrieval
  • Learning Deep Architectures for AI
  • CMU’s list of papers
  • Tutorials

  • UFLDL Tutorial 1
  • UFLDL Tutorial 2
  • Deep Learning for NLP (without Magic)
  • A Deep Learning Tutorial: From Perceptrons to Deep Networks
  • WebSites

  • deeplearning.net
  • deeplearning.stanford.edu
  • Datasets

  • MNIST?Handwritten digits
  • Google House Numbers?from street view
  • CIFAR-10 and CIFAR-100
  • IMAGENET
  • Tiny Images?80 Million tiny images
  • Flickr Data?100 Million Yahoo dataset
  • Berkeley Segmentation Dataset 500
  • Frameworks

  • Caffe
  • Torch7
  • Theano
  • cuda-convnet
  • Ccv
  • NuPIC
  • DeepLearning4J
  • Miscellaneous

  • Google Plus - Deep Learning Community
  • Caffe Webinar
  • 100 Best Github Resources in Github for DL
  • Word2Vec
  • Caffe DockerFile
  • TorontoDeepLEarning convnet
  • Vision data sets
  • Fantastic Torch Tutorial?My personal favourite. Also check out?gfx.js
  • Torch7 Cheat sheet
  • 創作挑戰賽新人創作獎勵來咯,堅持創作打卡瓜分現金大獎

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