https://github.com/machinecyc/sideprojects

Basic conception of loss function, dimension reduction, transfer learning, image classification.
https://github.com/machinecyc/sideprojects

autoencoder-mnist center-loss kaggle keras mnist-dataset regression side-project tensorflow transfer-learning triplet-loss

Last synced: 7 days ago
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Basic conception of loss function, dimension reduction, transfer learning, image classification.

• Host: GitHub
• URL: https://github.com/machinecyc/sideprojects
• Owner: machineCYC
• Created: 2018-05-12T14:57:52.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2022-11-24T00:13:02.000Z (about 2 years ago)
• Last Synced: 2024-12-05T00:43:10.461Z (2 months ago)
• Topics: autoencoder-mnist, center-loss, kaggle, keras, mnist-dataset, regression, side-project, tensorflow, transfer-learning, triplet-loss
• Language: Jupyter Notebook
• Homepage:
• Size: 25.3 MB
• Stars: 0
• Watchers: 1
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# Side Projects by Yen-Chen-Chen

This repository contains some basic conception of loss function, dimension reduction, transfer learning, image classification.

The detail of each conception is in the below.

[01-CenterLossVisualization](https://github.com/machineCYC/SideProjects/tree/master/01-CenterLossVisualization)

[02-Kaggle-DigitRecognizer](https://github.com/machineCYC/SideProjects/tree/master/02-Kaggle-DigitRecognizer)

[03-AutoEncoder](https://github.com/machineCYC/SideProjects/tree/master/03-AutoEncoder)

[04-TransferLearning](https://github.com/machineCYC/SideProjects/tree/master/04-TransferLearning)

[05-TripletLossVisualization](https://github.com/machineCYC/SideProjects/tree/master/05-TripletLossVisualization)

[06-Kaggle-HousePricesAdvancedRegTech](https://github.com/machineCYC/SideProjects/tree/master/06-Kaggle-HousePricesAdvancedRegTech)