Youtor
Introduction to Explainable AI ML Tech Talks
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=6xePkn3-LME
This talk introduces the field of Explainable AI, outlines a taxonomy of ML interpretability methods, walks through an implementation deepdive of Integrated Gradients, and concludes with discussion on picking attribution baselines and future research directions. • Chapters: • 00:00 - Intro • 2:31 - What is Explainable AI? • 8:40 - Interpretable ML methods • 14:52 - Deepdive: Integrated Gradients (IG) • 39:13 - Picking baselines and future research directions • Resources: • Integrated gradients → https://goo.gle/2PxfRtq • Vertex AI → https://goo.gle/3ifu7S5 • What-if-tool → https://goo.gle/3ehZWbZ • • Catch more ML Tech Talks → http://goo.gle/ml-tech-talks • Subscribe to TensorFlow → https://goo.gle/TensorFlow • • product: TensorFlow - General; re_ty: Publish;
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