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Avoided use of Built-in Models, function in Pytorch. Used Pytorch API and MNIST Dataset.

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Digit-Recognition-From-Scratch-NeuralNet

Computer Vision | CNN | PyTorch API | Pandas

The primary intenation behind doing this project to get in-depth knowledge of neural network created a simple digit recognition system from a basic level without using any machine learning packages.

Hence I use only pytorch API for this. Avoid use of built-in function and model in pytorch like torch.nn, torch.functional, torch.optim and etc.

Dataset - MNIST Dataset (Pytorch have this Dataset)
Model - Build my Own Neural Network and Model.
Explaination - Just read python notebook. it is self-explanatory.

If you face any problem just e-mail ([email protected]) me.

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Avoided use of Built-in Models, function in Pytorch. Used Pytorch API and MNIST Dataset.

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