F18 Lecture 1 : Introduction to Deep Learning Published 2018-08-29 Download video MP4 360p Download video MP4 720p Recommendations 1:15:45 F18 Lecture 2: The Neural Net as a Universal Approximator 18:40 But what is a neural network? | Chapter 1, Deep learning 40:08 The Most Important Algorithm in Machine Learning 1:03:43 How to Speak 1:03:59 Lecture 01: Course Overview (CMU 15-462/662) 15:05 Variational Autoencoders 1:08:06 Deep Learning Basics: Introduction and Overview 1:09:13 Lecture 1 | The Perceptron - History, Discovery, and Theory 45:46 Geoffrey Hinton | On working with Ilya, choosing problems, and the power of intuition 1:02:50 MIT 6.S191 (2023): Recurrent Neural Networks, Transformers, and Attention 15:22 How Intelligence Evolved | A 600 million year story. 26:46 Andrew Ng: Advice on Getting Started in Deep Learning | AI Podcast Clips 36:54 Prof. Geoffrey Hinton - "Will digital intelligence replace biological intelligence?" Romanes Lecture 1:17:41 Lecture 2 | The Universal Approximation Theorem 10:31 The U-Net (actually) explained in 10 minutes 2:32:40 Self-Driving Car with JavaScript Course – Neural Networks and Machine Learning 41:17 Machine Learning: Living in the Age of AI | A WIRED Film 1:15:44 6.4210 Fall 2023 Lecture 1: Intro 1:54:36 Lecture 1. Introduction and Basics - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu 20:18 Why Does Diffusion Work Better than Auto-Regression? Similar videos 1:12:23 S18 Lecture 1: An Introduction to Deep Learning 1:00:52 Recitation 1 | Your First Deep Learning Code 24:03 F18 Logistics 1:03:07 F18 Recitation 2: Your First Deep Learning Code 1:00:55 (Old) Lecture 1 | A Brief History of Deep Learning 1:25:54 F18 Recitation 1 : Amazon Web Services 12:02 Introduction to Deep Learning 1:16:22 F18 Lecture 8: Convolutional Neural Networks (Part 1) 24:19 F18 Recitation 0 (1/2): Python Primer 1:09:33 CSE 545 F18: 1-8-18 "Introduction and History" 1:03:54 F18 Lecture 6: Optimization Part 1 18:55 F18 Recitation 8 - Connectionist Temporal Classification (CTC) 07:08 Listen, Attend, and Spell | Lecture 76 (Part 1) | Applied Deep Learning 1:20:13 F18 Lecture 3: Neural Network Training 28:50 Lecture 0 - Logistics and Overview 1:20:52 F18 Lecture 10: Recurrent Neural Networks (RNNs) (Part 1) 1:12:54 F18 Lecture 4 : Backpropagation More results