Changelog Master Feed TensorFlow.js and Machine Learning in JavaScript (JS Party #64)
Feb 25, 2019
01:04:03
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!