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About A Technique of Deep Learning For The Classification of Images
This document presents a technique for classifying images using deep learning. It discusses convolutional neural networks and how they can be used for tasks like image colorization, sound generation for silent movies, machine translation, image classification, and handwriting generation. It also discusses related work on training deeper neural networks, including the residual learning technique to help promote network training. Experimental results on the CIFAR dataset are presented to analyze the effects of different CNN systems and network depths and widths.
Detailed Information
| Author: | ['Sania Ashir'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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