CS231n Winter 2016: Lecture 7: Convolutional Neural Networks Published 2016-01-27 Download video MP4 360p Recommendations 1:04:57 CS231n Winter 2016: Lecture 8: Localization and Detection 23:01 But what is a convolution? 47:48 Visualizing and Understanding Deep Neural Networks by Matt Zeiler 1:19:39 CS231n Winter 2016: Lecture 4: Backpropagation, Neural Networks 1 46:02 What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata 35:35 1D Convolutional Neural Networks for Time Series Modeling - Nathan Janos, Jeff Roach 58:12 MIT Introduction to Deep Learning | 6.S191 55:15 MIT 6.S191 (2023): Convolutional Neural Networks 31:18 The Story of Shor's Algorithm, Straight From the Source | Peter Shor 14:17 CNN: Convolutional Neural Networks Explained - Computerphile 25:28 Dendrites: Why Biological Neurons Are Deep Neural Networks 32:08 A friendly introduction to Convolutional Neural Networks and Image Recognition 1:01:28 How convolutional neural networks work, in depth 57:57 Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition 09:09 Neural Network Architectures & Deep Learning 1:08:06 Deep Learning Basics: Introduction and Overview 1:17:40 Lecture 9 | CNN Architectures 18:40 But what is a neural network? | Chapter 1, Deep learning Similar videos 1:19:01 CS231n Winter 2016 Lecture 7 Convolutional Neural Networks LxfUGhug iQ-sHyIqu_S5Ks.mp4 1:15:03 CS231n Winter 2016: Lecture 11: ConvNets in practice 1:18:38 CS231n Winter 2016: Lecture 5: Neural Networks Part 2 1:19:08 CS231n Winter 2016: Lecture1: Introduction and Historical Context 1:18:20 CS231n Winter 2016: Lecture 9: Visualization, Deep Dream, Neural Style, Adversarial Examples 1:09:54 CS231n Winter 2016: Lecture 10: Recurrent Neural Networks, Image Captioning, LSTM 57:28 CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 1:17:36 CS231n Winter 2016: Lecture 14: Videos and Unsupervised Learning 1:14:50 CS231n Winter 2016: Lecture 15: Invited Talk by Jeff Dean 1:11:23 CS231n Winter 2016: Lecture 3: Linear Classification 2, Optimization 1:09:36 CS231n Winter 2016 Lecture 6 Neural Networks Part 3 Intro to ConvNets hd-egPTd9zZzec 1:19:39 CS231n Winter 2016 Lecture 4 Backpropagation, Neural Networks 1-Q_UWHTY_TEQ.mp4 More results