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About Transfer Learning Using VGG-16 With Deep Convoluti
This document summarizes a research article that uses transfer learning with a pre-trained VGG-16 convolutional neural network model to classify images. Transfer learning aims to apply knowledge gained from solving one problem to a different but related problem, and can help improve performance when limited labeled data is available for the target problem. The article describes how transfer learning works compared to conventional machine learning. It then discusses using a pre-trained VGG-16 model to classify images and evaluating the accuracy on training and validation data.
Detailed Information
| Author: | ['Mistlemagic'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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