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Deep-Learning-Models

collection of my deep learning models

Resources :

Content :

  • Digits Recognizer model, from 28x28x1 images (MNIST dataset), the challenge from Kaggle digit-recognizer you can find this model in ./Digits.ipynb

  • Titanic3 Dataset analyse and survive prediction using MLP pytorch, I got 84% accuracy :) . you can find the dataset description here and the dataset here the model is in ./Titanic3.ipynb

  • Arabic Letters classifier using pytorch (MLP), the data is 32x32x3 images I got 73% accuracy ;_;

    the CNN model on the other hand performed much better,the test accuracy is 84.9 (the MLP was trained on 150 epoch)

    you can find the MLP model in ./arabic.ipynb,the CNN model in ./arabic_CNN.ipynb and the data in ./Datasets/arabic , the data is structred to be loaded directly to pytorch ImageFolder Dataset

  • AI hack tunisia precalificacion is a ML challenge to predict if an african have a bank account, it's also a precalificacion for AI hack tunisia, I got an accuracy of 99.89 %.

    you can find the challenge online here

Contribution :

feel free to contribute or to report any error or improvment to any model, i would be happy to add your model here too :)

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collection of my deep learning models

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