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TensorFlow.js and Machine Learning in JavaScript (JS Party #64)


Panelists Suz Hinton and Nick Nisi discuss TensorFlow.js and Machine Learning in JavaScript with special guest Paige Bailey, TensorFlow mom and developer Advocate for Google AI.

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Featuring:

  • Paige Bailey – Twitter, GitHub, Website
  • Suz Hinton – Twitter, GitHub, Website
  • Nick Nisi – Twitter, GitHub, Website

Show Notes:

  • TensorFlow.js
  • Google AI
    ml5.js - Friendly Machine Learning for the Web
  • Machine Learning Glossary
  • TensorFlow tutorials
  • Tero Parviainen on CodePen
  • tfjs-layers - High-level machine learning model API
  • tfjs-models - Pre-trained TensorFlow.js models
  • tfma-slicing-metrics-browser.gif ????
  • TensorFlow Model Analysis (TFMA) - a library for evaluating TensorFlow models
  • What-If Tool - Building effective machine learning systems means asking a lot of questions. It’s not enough to train a model and walk away. Instead, good practitioners act as detectives, probing to understand their model better.
  • EthicalMachineLearning.ipynb
  • TensorBoard: Visualizing Learning
  • TensorBoard: Graph Visualization
  • People + AI Research (PAIR) - Human-centered research and design to make AI partnerships productive, enjoyable, and fair.
  • Distill - Clear explanations of machine learning
  • Book: Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech
  • Book: Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
  • A new course to teach people about fairness in machine learning
  • List of cognitive biases
  • CleverHans - a Python library to benchmark machine learning systems’ vulnerability to adversarial examples
  • CleverHans paper
  • Breaking linear classifiers on ImageNet
  • CV Dazzle - explores how fashion can be used as camouflage from face-detection technology, the first step in automated face recognition

Something missing or broken? PRs welcome!


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 February 25, 2019  1h4m