MIT 6S191 2020 Convolutional Neural Networks











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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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