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This repository created to practice fastai module as well as to benchmark the dataset for various tasks using it. Though I'm following Jeremy Howard's session for now, but I've some other plans for it.

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itsayushthada/FastAI2019

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FastAI2019

All the tasks have been done with the FastAI and Pytorch module.

DataSet Accuracy Model Name Task
MNIST 99.40% ResNet18 Classification
CIFAR100 82.03% ResNet50 Classification
Devanagari Handwritten Character Dataset 99.1624% ResNet18 Classification
Arabic Hand Written Dataset NaN% ResNet18 Classification

These are not the final results. There is still scope of improvement.

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This repository created to practice fastai module as well as to benchmark the dataset for various tasks using it. Though I'm following Jeremy Howard's session for now, but I've some other plans for it.

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