MIT 6.S191: Introduction to Deep Learning - MIT 6.S191 (2023): Convolutional Neural Networks

MIT Introduction to Deep Learning 6.S191: Lecture 3 Convolutional Neural Networks for Computer Vision Lecturer: Alexander Amini 2023 Edition For all lectures, slides, and lab materials: http://introtodeeplearning.com​ Lecture Outline 0:00​ - Introduction 2:37​ - Amazing applications of vision 5:35 - What computers "see" 12:38- Learning visual features 17:51​ - Feature extraction and convolution 22:23 - The convolution operation 27:30​ - Convolution neural networks 34:29​ - Non-linearity and pooling 40:07 - End-to-end code example 41:23​ - Applications 43:18 - Object detection 51:36 - End-to-end self driving cars 54:08​ - 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!!