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 – Website, GitHub, X
• Suz Hinton – GitHub, Mastodon, X
• Nick Nisi – Website, GitHub, Bluesky, Mastodon, X

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!