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About CERN Deep Learning and Vision
The document discusses the history and development of deep learning for computer vision tasks. It provides an overview of key techniques used in the ImageNet competition over the years, such as local coding, Fisher vectors, and bag-of-words models. In 2012, a deep convolutional neural network achieved breakthrough results. The document then discusses what deep learning is, using artificial neural networks as a loose model of the brain. It provides examples of classification using neural networks by converting outputs to probabilities with softmax and minimizing cross-entropy loss.
Detailed Information
| Author: | ['Narendra Singh'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 72 |
| Language: | English |
| Format: | |
| Price: | FREE |
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