TensorFlow.js and Machine Learning in JavaScript
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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 – Mastodon), Twitter), GitHub)
• Nick Nisi – Mastodon), 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!)