https://github.com/siavashshams/transfer-learning-using-vgg19

In this project we will use a VGG19 network pretrained on the ImageNet dataset to classify a dataset containing images of dogs and cats
https://github.com/siavashshams/transfer-learning-using-vgg19

classification dog-cat transfer-learning vgg19

Last synced: 7 months ago
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In this project we will use a VGG19 network pretrained on the ImageNet dataset to classify a dataset containing images of dogs and cats

• Host: GitHub
• URL: https://github.com/siavashshams/transfer-learning-using-vgg19
• Owner: SiavashShams
• Created: 2022-09-19T20:01:30.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-09-19T20:13:43.000Z (about 3 years ago)
• Last Synced: 2025-01-27T22:46:58.577Z (9 months ago)
• Topics: classification, dog-cat, transfer-learning, vgg19
• Language: Jupyter Notebook
• Homepage:
• Size: 3.76 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Transfer-Learning-Using-VGG19

The VGG19 network is shown below

![This is an image](/Images/Picture1.jpg)

Some pictures of the dataset we are going to classify are shown below

![This is an image](/Images/Picture2.png)

The results of the classification:

![This is an image](/Images/Picture3.png)