CS231n Winter 2016: Lecture 5: Neural Networks Part 2 Published 2016-01-20 Download video MP4 360p Recommendations 1:19:39 CS231n Winter 2016: Lecture 4: Backpropagation, Neural Networks 1 1:09:54 CS231n Winter 2016: Lecture 10: Recurrent Neural Networks, Image Captioning, LSTM 58:12 MIT Introduction to Deep Learning | 6.S191 1:20:20 Season 1 Ep.1 Andrej Karpathy on the visionary AI in Tesla's autonomous driving 57:28 CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 1:17:40 Lecture 9 | CNN Architectures 1:11:41 Stanford CS25: V2 I Introduction to Transformers w/ Andrej Karpathy 1:13:09 Lecture 10 | Recurrent Neural Networks 1:56:20 Let's build GPT: from scratch, in code, spelled out. 1:19:01 CS231n Winter 2016: Lecture 7: Convolutional Neural Networks 37:56 Orignal transformer paper "Attention is all you need" introduced by a layman | Shawn's ML Notes 1:19:08 CS231n Winter 2016: Lecture1: Introduction and Historical Context 1:20:20 Lecture 6 | Training Neural Networks I 1:14:50 CS231n Winter 2016: Lecture 15: Invited Talk by Jeff Dean 1:04:57 CS231n Winter 2016: Lecture 8: Localization and Detection 1:16:38 Lecture 12 - Backprop & Improving Neural Networks | Stanford CS229: Machine Learning (Autumn 2018) 2:25:52 The spelled-out intro to neural networks and backpropagation: building micrograd 1:08:56 Lecture 5 | Convolutional Neural Networks Similar videos 1:18:38 CS231n Lecture 5 - Neural Networks Part 2 1:15:03 CS231n Winter 2016: Lecture 11: ConvNets in practice 1:09:36 CS231n Lecture 6 - Neural Networks Part 3 Intro to ConvNets 1:19:39 CS231n Winter 2016 Lecture 4 Backpropagation, Neural Networks 1-Q_UWHTY_TEQ.mp4 1:21:07 CS231n Winter 2016： Lecture 12： Deep Learning libraries 1:11:23 CS231n Winter 2016: Lecture 3: Linear Classification 2, Optimization 10:14 ARTIFICIAL INTELLIGENCE: Interview with ANDREJ KARPATHY PART 2 55:40 CS231n Winter 2016 Lecture 2 Data driven approach, kNN, Linear Classification 1 8inugqHkfvE 1:18:20 CS231n Winter 2016: Lecture 9: Visualization, Deep Dream, Neural Style, Adversarial Examples More results