CVPR18: Tutorial: Part 1: Interpretable Machine Learning for Computer Vision Published 2018-06-30 Download video MP4 360p Recommendations 48:48 CVPR18: Tutorial: Part 2: Human Activity Recognition 1:08:06 Deep Learning Basics: Introduction and Overview 1:40:22 #047 Interpretable Machine Learning - Christoph Molnar 1:18:42 25. Interpretability 1:36:01 Open the Black Box: an Introduction to Model Interpretability with LIME and SHAP - Kevin Lemagnen 1:24:44 Stanford Seminar - Information Theory of Deep Learning, Naftali Tishby 27:56 Interpretability Beyond Feature Attribution 2:38:06 CVPR18:Tutorial: Inverse Reinforcement Learning for Computer Vision 18:40 But what is a neural network? | Chapter 1, Deep learning 59:44 CVPR18: Tutorial: Part 1: Visual Recognition and Beyond 1:05:19 Been Kim wants interpretability for everyone 39:15 Interpretable Neural Networks for Computer Vision: Clinical Decisions that are Aided, not Automated 1:15:29 Explainable AI for Science and Medicine 3:16:28 Vectors & Dot Product • Math for Game Devs [Part 1] 10:13 Please Stop Doing "Explainable" ML - Cynthia Rudin 45:45 Introduction to Explainable AI (ML Tech Talks) 1:26:56 Interpretable Deep Learning - Deep Learning in Life Sciences - Lecture 05 (Spring 2021) Similar videos 1:43:26 CVPR18: Tutorial: Part 2: Interpretable Machine Learning for Computer Vision 1:32:38 CVPR18: Tutorial: Part 1: Interpreting and Explaining Deep Models in Computer Vision 42:15 CVPR18: Tutorial: Part 1: A Crash Course on Human Vision 1:25:13 CVPR18: Tutorial: Part 1: Unsupervised Visual Learning 1:44:46 CVPR18: Session 1-2C: Machine Learning for Computer Vision II 36:57 Alina Barnett - Interpretable Image Recognition 03:08 CACM Jan. 2020 - Techniques for Interpretable Machine Learning 57:18 Introduction to Interpretable Machine Learning I - Cynthia Rudin 55:03 Training and Operationalizing Interpretable Machine Learning Models - Francesca Lazzeri 1:06:45 Cynthia Rudin: "New Algorithms for Interpretable Machine Learning" More results