Deep Learning Bootcamp: Kaiming He Published 2024-03-07 Download video MP4 360p Download video MP4 720p Recommendations 10:00 Deep Learning Bootcamp: Tutorial 36:54 Prof. Geoffrey Hinton - "Will digital intelligence replace biological intelligence?" Romanes Lecture 1:12:30 Jeff Dean (Google): Exciting Trends in Machine Learning 40:08 The Most Important Algorithm in Machine Learning 27:14 But what is a GPT? Visual intro to transformers | Chapter 5, Deep Learning 1:15:51 Dr Kaiming He- 2023 Future Science Prize Laureates Lecture 何恺明- 2023年未来科学大奖获奖者学术报告会 31:17 Three Directions in Design: Gerald Jay Sussman 33:03 Why Some Designs Are Impossible to Improve: Quintessence 1:12:07 Lecture 2: Airplane Aerodynamics 1:23:00 Prof. Chris Bishop's NEW Deep Learning Textbook! 55:55 Miles Cranmer - The Next Great Scientific Theory is Hiding Inside a Neural Network (April 3, 2024) 30:49 Introduction to Poker Theory 17:57 Generative AI in a Nutshell - how to survive and thrive in the age of AI 07:39 Necessity of complex numbers 54:24 26. Chernobyl — How It Happened 2:06:38 This is why Deep Learning is really weird. 1:01:34 Demis Hassabis - Scaling, Superhuman AIs, AlphaZero atop LLMs, Rogue Nations Threat 1:00:25 What we see and what we value: AI with a human perspective—Fei-Fei Li (Stanford University) 26:10 Attention in transformers, visually explained | Chapter 6, Deep Learning Similar videos 1:10:20 Deep Learning Bootcamp: Phillip Isola 15:43 15.5 Xavier and Kaiming initializations 1:15:46 [한글자막] Deep Learning Bootcamp: Kaiming He 1:46:36 Getting Started with Deep Learning| Day 1 |Decipher Deep Learning Bootcamp 1:25:17 Deep Learning for Computer Vision (Andrej Karpathy, OpenAI) 19:23 I tried to make a Valorant AI using computer vision 1:56:33 Lesson 17: Deep Learning Foundations to Stable Diffusion 06:58 The real life of an Earthcube data scientist 49:33 Neural Networks Architecture Seminar. Lecture 4: CNN Architectures 44:05 Day58 #100DaysML Activation Functions and Weight Initialization 2:20:42 Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning 06:12 torch.nn.TransformerEncoderLayer - Part 0 - Module Overview 40:38 Zero Order Optimization Methods with Applications to Reinforcement Learning |Jorge Nocedal 24:01 In China Overpopulation and Unemployment Go Hand in Hand 12:04 The Gut-COVID Connection 35:50 Day66 #100DaysML Vision Applications of CNN 01:19 Object Detection 1:15:12 MCU | FDP | Session 14 | Implementation of Deep Learning model using CNN - Dr. Vijay Bhaskar Semwal 31:51 Lecture3 - AlexNet for Image Classification More results