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ML Review 6

Contents

  • ML Review 6
    • News
    • Live Demos, Websites and Blogs
    • Publications
    • Software
    • Interesting Questions

This Review gives an overview of intersting stuff I stumbled over which are related to machine learning.

News

  • Hardware
    • Inside Volta: The World’s Most Advanced Data Center GPU
    • NVIDIA DGX SYSTEMS
  • Core-Software
    • CUDA 9
    • cuDNN 7
    • Scaling Keras Model Training to Multiple GPUs
  • Applications:
    • Facebook: Transitioning entirely to neural machine translation
    • nVidia: Microsoft Sets New Speech Recognition Record
    • nature: Artificial intelligence identifies plant species for science
    • nVidia: AI Writes Believable Fake Yelp Reviews
  • Other
    • OpenAI: Robust Adversarial Examples
    • Where does this hyped news come from? Facebook shut down AI that invented its own language.
    • Wired: Machines Taught by Photos Learn a Sexist View of Women

Live Demos, Websites and Blogs

  • Anish Athalye: A Step-by-Step Guide to Synthesizing Adversarial Examples
  • Aran Lunzer and Amelia McNamara: What's so hard about histograms?
  • Kaggle:
    • ImageNet Object Localization Challenge
    • ImageNet Object Detection Challenge
    • ImageNet Object Detection from Video Challenge
  • Martin Thoma: Document Classification
  • Metadata: A Comparison of Distributed Machine Learning Platforms (Spark, PMLS, TensorFlow)
  • Hu, Peiyun and Ramanan, Deva: Finding Tiny Faces (MATLAB)
  • Mozilla: Common Voice
  • Slav Ivanov: 37 Reasons why your Neural Network is not working
  • Humble Book Bundle - Data Science
  • Deep Learning Is Not Good Enough, We Need Bayesian Deep Learning for Safe AI
  • DeepL: Neues Tool übersetzt viel besser als Google und Microsoft
  • TensorFlow Debugger Screencast

Publications

  • Martin Thoma: Analysis and Optimization of Convolutional Neural Network Architectures
  • Abhinav Gupta (Google): Revisiting the Unreasonable Effectiveness of Data

Software

  • mozilla/DeepSpeech (Tensorflow)
  • dennybritz/cnn-text-classification-tf

Interesting Questions

  • Why are Machine Learning models called black boxes?
  • What is an appropriate way to compare classifiers with different sets of classes?
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Published

Aug 31, 2017
by Martin Thoma

Category

Machine Learning

Tags

  • Machine Learning 81
  • matplotlib 7

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