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About Deep Learning and Convolutional Neural Nets: Last Time
The document summarizes a lecture on deep learning and convolutional neural networks. It discusses pyramid match kernels, neural networks, and convolutional neural networks. Key topics covered include pyramid match kernels for comparing sets of features, multi-layer neural networks that can approximate continuous functions, and convolutional neural networks which apply local connectivity and shared weights to learn shift-invariant features from images.
Detailed Information
| Author: | ['Shaayaan Sayed'] |
|---|---|
| Publication Year: | 2015 |
| Pages: | 33 |
| Language: | English |
| Format: | |
| Price: | FREE |
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