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About 001 Intro
This document provides an overview of a deep learning course taught by Yann LeCun. The course covers the basics of deep learning including neural networks, convolutional neural networks, and more advanced architectures. It consists of 9 lectures by LeCun and 3 guest lectures, as well as practical sessions on Tuesday evenings. Students will be evaluated through a midterm exam and a final project on self-supervised learning and autonomous driving. The course plan covers topics like backpropagation, regularization techniques, energy-based models, self-supervised learning, and how deep learning draws inspiration from the brain.
Detailed Information
| Author: | ['manik'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 66 |
| Language: | English |
| Format: | |
| Price: | FREE |
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