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Kaggle-Whats-Cooking

Simple code for kaggle's "What's Cooking" Competition. Got 78.8% Accuracy for Test Data.

Description

  • ing2vec.py : Perform 'ingredient to vector' training.
  • Skipgram.py : Network for ing2vec training.
  • classifier.py : Deep Learning for final classifying.
  • ClassifyNetwork.py : Network for classifier.py.
  • classifier2.py : RBFN for final classifying. <- This code got the 78.8% Accuracy.

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Simple code for kaggle's "What's Cooking" Competition.

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  • Python 100.0%