MIT 6.S191: Introduction to Deep Learning - MIT 6.S191 (2020): Convolutional Neural Networks

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deep learning mit artificial intelligence neural networks machine learning 6s191 6.s191 mit deep learning ava soleimany soleimany alexander amini amini

Full Transcript

MIT Introduction to Deep Learning 6.S191: Lecture 3 Convolutional Neural Networks for Computer Vision Lecturer: Alexander Amini January 2020 For all lectures, slides, and lab materials: http://introtodeeplearning.com Lecture Outline 0:00 - Introduction 3:04 - What computers "see" 8:06 - Learning visual features 12:36 - Feature extraction and convolution 19:12 - Convolution neural networks 24:03 - Non-linearity and pooling 28:30 - Code example 29:32 - Applications 32:53 - End-to-end self driving cars 35:55 - 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!!

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