https://github.com/anantzoid/kaggle-leaf-classification
My solution to Kaggle's Leaf Classification competition
https://github.com/anantzoid/kaggle-leaf-classification
autoencoder deep-learning kaggle kaggle-competition keras
Last synced: about 1 month ago
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My solution to Kaggle's Leaf Classification competition
- Host: GitHub
- URL: https://github.com/anantzoid/kaggle-leaf-classification
- Owner: anantzoid
- Created: 2017-04-05T01:29:42.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2017-04-05T01:30:24.000Z (about 9 years ago)
- Last Synced: 2025-01-29T12:32:26.624Z (over 1 year ago)
- Topics: autoencoder, deep-learning, kaggle, kaggle-competition, keras
- Language: Jupyter Notebook
- Size: 9.77 KB
- Stars: 1
- Watchers: 5
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Kaggle Leaf Classification
This is my result for Kaggle's leaf classification competition that ended last month. This solution initially ranked in the 14th place when I submitted it in December, but was eventually pushed to 43rd.
It follows a 2 stage pipeline, first using the images to learn representations via Deep Autoencoders, which are then concatenated to the given featues and trained jointly on a DNN.