Blog

• The Scientist and Engineer's Guide to
  Digital Signal Processing
  http://www.dspguide.com/ch6/2.htm

• about convolution
  https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/convolution.html

• GAN
  http://kenkihara.com/projects/GAN.html

• Spark MLlib http://spark.apache.org/mllib/

• PyMC3 github

  PyMC3 is a Python package for Bayesian statistical modeling and Probabilistic Machine Learning which focuses on advanced Markov chain Monte Carlo and variational fitting algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.

• mozilla
  Get Smart On the Web

• Introduction to AUTOMATIC DIFFERENTIATION

  blog-CONVERSATIONS

• Automatic Hyperparameter Tuning Methods
  http://www.johnmyleswhite.com/notebook/2012/07/21/automatic-hyperparameter-tuning-methods/

• Recognizing Traffic Lights With Deep Learning
  https://medium.freecodecamp.com/recognizing-traffic-lights-with-deep-learning-23dae23287cc#.unamzkh9h

• GitXiv
  http://www.gitxiv.com/

• Andrej Karpathy blog
  http://karpathy.github.io/
  

  

  图片名称

• loss function
  http://lossfunctions.tumblr.com/
  
  

  lossfunction

• http://docs.oracle.com/cd/E19957-01/806-3568/ncg_goldberg.html
  

  

  appendix_D

• http://cs231n.github.io/
  

  

  cs231n_cnn

• Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
  http://www.cs.nyu.edu/~deigen/dnl/
  

  

  depth_surface

• http://colah.github.io/
  

  

  colah-blog

• http://karpathy.github.io/2015/05/21/rnn-effectiveness/
  

  

  karpathy-rnn
  
  The picture that emerges is that the model first discovers the general word-space structure and then rapidly starts to learn the words; First starting with the short words and then eventually the longer ones. Topics and themes that span multiple words (and in general longer-term dependencies) start to emerge only much later.

• http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/
  

  

  wildml

• deepmind blog
  https://deepmind.com/blog/
• Packt is a developer skills platform that supports software professionals in learning the skills they need to stay relevant in their field. From web development to data science, Packt delivers practical content on what's important in the tech world, helping developers solve today's - and tomorrow's challenges
  https://www.packtpub.com/books/content/blogs
• atis keras
  part1: https://www.packtpub.com/books/content/solving-nlp-problem-keras-part-1
  part2: https://www.packtpub.com/books/content/solving-nlp-problem-keras-part-2
• Grokking deep learning
  https://www.manning.com/books/grokking-deep-learning
• Hacker's guide to Neural Networks (Andrej Karpathy blog)
  http://karpathy.github.io/neuralnets/
• 一个内容范围广但精致的博客
  内容包括: AI, big data, analytics, art, programming language, etc.
  https://cartesianfaith.com/about/
• 机器学习-深度学习发展介绍
  http://www.csdn.net/article/2015-03-24/2824301
  http://www.computervisionblog.com/2015/01/from-feature-descriptors-to-deep.html
• 一位自然语言处理大牛的博客
  http://sebastianruder.com/index.html#open
• i am trask A Machine Learning Craftsmanship Blog
  http://iamtrask.github.io/
• Christopher Olah's blog with many excellent examples (cnn, rnn)
  http://colah.github.io/
• A tour of machine learning
  http://machinelearningmastery.com/a-tour-of-machine-learning-algorithms/
• Knight lab (NLP & News)
  http://knightlab.northwestern.edu/2014/11/07/mozfest-2014-natural-language-processing-in-news/
• Analytical Flavor Systems (ML & Beer)
  http://www.craftbrewingbusiness.com/
  https://blogs.nvidia.com/blog/2015/09/02/beer/
• AI and Social Science – Brendan O'Connor
  http://brenocon.com/blog/
• 刘帝伟
  http://blog.csdn.net/dream_angel_z

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company

• NLP tools: If your application needs to process entire web dumps, spaCy is the library you want to be using.
  https://spacy.io/

• A company trading optimization algorithms
  https://sigopt.com/#products

• Enlitic uses deep learning to make doctors faster and more accurate
  http://www.enlitic.com/index.html

• Cyclica (Compuational Drug Discovery)
  https://cyclicarx.com/about-us/our-team/

• Zeleros
  http://www.zelros.com/