Stanford CS230: Deep Learning | Autumn 2018 | Lecture 7 - Interpretability of Neural Network Published 2019-04-03 Download video MP4 360p Recommendations 1:04:48 Stanford CS230: Deep Learning | Autumn 2018 | Lecture 8 - Career Advice / Reading Research Papers 18:40 But what is a neural network? | Chapter 1, Deep learning 58:12 MIT Introduction to Deep Learning | 6.S191 40:08 The Most Important Algorithm in Machine Learning 55:55 Miles Cranmer - The Next Great Scientific Theory is Hiding Inside a Neural Network (April 3, 2024) 25:28 Dendrites: Why Biological Neurons Are Deep Neural Networks 47:48 Visualizing and Understanding Deep Neural Networks by Matt Zeiler 18:08 Transformer Neural Networks Derived from Scratch 1:05:54 Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 1 - Introduction - Emma Brunskill 1:27:43 Hot Dog or Not Hot Dog – Convolutional Neural Network Course for Beginners 53:14 MIT 6.S094: Computer Vision 1:02:50 MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention 25:28 Watching Neural Networks Learn 46:02 What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata 1:11:41 Stanford CS25: V2 I Introduction to Transformers w/ Andrej Karpathy 47:27 Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering 10:30 Why Neural Networks can learn (almost) anything 51:31 11. Introduction to Machine Learning Similar videos 1:20:20 Stanford CS230: Deep Learning | Autumn 2018 | Lecture 9 - Deep Reinforcement Learning 50:24 Stanford CS230: Deep Learning | Autumn 2018 | Lecture 6 - Deep Learning Project Strategy 1:22:47 Stanford CS230: Deep Learning | Autumn 2018 | Lecture 2 - Deep Learning Intuition 54:52 Stanford CS230: Deep Learning | Autumn 2018 | Lecture 10 - Chatbots / Closing Remarks 1:26:18 Stanford CS230: Deep Learning | Autumn 2018 | Lecture 5 - AI + Healthcare 1:23:00 Stanford CS230: Deep Learning | Autumn 2018 | Lecture 4 - Adversarial Attacks / GANs 1:16:38 Lecture 12 - Backprop & Improving Neural Networks | Stanford CS229: Machine Learning (Autumn 2018) 1:26:56 Interpretable Deep Learning - Deep Learning in Life Sciences - Lecture 05 (Spring 2021) 1:15:56 Introduction to Deep Learning Lecture 7 51:02 MedAI #34: Optimizing for Interpretability in Deep Neural Networks | Mike Wu 11:48 What makes AI Interpretable to a Human? [Lecture] 22:09 Interpretability of Convolutional Neural Networks - Eva Mohedano - UPC Barcelona 2018 (DLCV D3L4) 1:30:45 CVPR18: Tutorial: Part 1: Interpretable Machine Learning for Computer Vision 1:11:40 Interpretable Deep Neural Networks by Stéphane Mallat 1:13:23 Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 7 – Vanishing Gradients, Fancy RNNs 1:24:26 Lecture 13 | (2/5) Recurrent Neural Networks 21:33 PROJECT 7: Capstone Class on Interpretability, deep Learning More results