https://github.com/diegoandai/deep-learning-framework-research
Information about Neural Network's tools
https://github.com/diegoandai/deep-learning-framework-research
deep-learning embeddings epistemonikos knn-search mnist neural-network summary tensorflow word2vec
Last synced: 2 months ago
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Information about Neural Network's tools
- Host: GitHub
- URL: https://github.com/diegoandai/deep-learning-framework-research
- Owner: DiegoAndai
- Created: 2016-07-22T05:46:48.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2018-03-09T21:38:51.000Z (over 8 years ago)
- Last Synced: 2025-03-11T19:46:17.071Z (over 1 year ago)
- Topics: deep-learning, embeddings, epistemonikos, knn-search, mnist, neural-network, summary, tensorflow, word2vec
- Language: Python
- Homepage:
- Size: 111 MB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Deep learning framework research
This repository contains two major work paths: one to evaluate, under a beginner's point of view, four frameworks used for Deep Learning through an implementation of a neural network to recognise handwritten digits from the MNIST database (you can see our work on MNIST [here](/MNIST)) and another to use our evaluation to choose a framework and utilize a language representation (namely word embeddings) to classify medical papers into different categories (see [Epistemonikos folder](/Epistemonikos)).