https://github.com/letiziaia/transferlearning

Transfer learning: presentation and practical tutorial
https://github.com/letiziaia/transferlearning

deep-learning flowers-classification imagenet mobilenet presentation transfer-learning

Last synced: 24 days ago
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Transfer learning: presentation and practical tutorial

• Host: GitHub
• URL: https://github.com/letiziaia/transferlearning
• Owner: letiziaia
• Created: 2022-02-10T16:13:47.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-02-16T13:04:04.000Z (almost 3 years ago)
• Last Synced: 2024-10-29T13:55:53.696Z (2 months ago)
• Topics: deep-learning, flowers-classification, imagenet, mobilenet, presentation, transfer-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 387 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# TransferLearning

Practical tutorial about transfer learning with tensorflow and keras.

## Presentation

Presentation slides and references are available [here](https://docs.google.com/presentation/d/12jUm1lS4LGIVC_rSxXBUV_li9hfRcj0BMW4Iog__UEQ/edit?usp=sharing).

## Code

See the [Jupyter notebook](https://github.com/letiziaia/TransferLearning/blob/main/TransferLearning.ipynb).

**Source model:** MobileNet, trained on ImageNet

**Target model:** classification of 5 types of flowers (target data: [kaggle flowers dataset](https://www.kaggle.com/alxmamaev/flowers-recognition) )