MIT 6.S191: Convolutional Neural Networks

MIT Introduction to Deep Learning 6.S191: Lecture 3 Convolutional Neural Networks for Computer Vision Lecturer: Alexander Amini * New 2024 Edition * For all lectures, slides, and lab materials: http://introtodeeplearning.com​ Lecture Outline 0:00​ - Introduction 2:45​ - Amazing applications of vision 4:56 - What computers "see" 13:09- Learning visual features 18:53​ - Feature extraction and convolution 22:12 - The convolution operation 28:38​ - Convolution neural networks 37:10​ - Non-linearity and pooling 41:23 - End-to-end code example 43:21​ - Applications 46:14 - Object detection 57:10 - End-to-end self driving cars 1:06:15​ - Summary Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!