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About Intro4 ANN Deep CNN PDF
Deep learning is a family of techniques for learning compositional vector representations of complex data using neural networks. Deep neural networks learn hierarchical representations of data by building higher-level features from lower-level ones. Convolutional neural networks apply this idea to visual data by incorporating spatial structure through local connectivity and parameter sharing. Modern deep learning techniques like residual networks enable very deep networks to be trained effectively.
Detailed Information
| Author: | ['pranab sarker'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 20 |
| Language: | English |
| Format: | |
| Price: | FREE |
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