MIT 6.S191: Introduction to Deep Learning - MIT 6.S191 (2021): Convolutional Neural Networks

MIT Introduction to Deep Learning 6.S191: Lecture 3 Convolutional Neural Networks for Computer Vision Lecturer: Alexander Amini January 2021 For all lectures, slides, and lab materials: http://introtodeeplearning.com​ Lecture Outline 0:00​ - Introduction 2:47​ - Amazing applications of vision 7:56 - What computers "see" 14:02 - Learning visual features 18:50​ - Feature extraction and convolution 22:20 - The convolution operation 27:27​ - Convolution neural networks 34:05​ - Non-linearity and pooling 38:59 - End-to-end code example 40:25​ - Applications 42:02 - Object detection 50:52 - End-to-end self driving cars 54:00​ - 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!!