Image Classification using Neural Networks (from scratch)

This project was a part of AI Scholarship Course that I won from Udacity & Facebook. It implements neural network from scratch using Python and PyTorch Library to create deep learning models that can predict hand-written digits and classify MNIST fashion images.

Technologies Used: Python, PyTorch, NumPy

Pytorch's torch documentation: https://pytorch.org/docs/stable/torch.html

Torchvision datasets: https://pytorch.org/docs/stable/torchvision/index.html

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How to Run The Code:

1. Open neural_network.ipynb for all the code and results. OR
2. Clone the repository with git clone https://github.com/tito-coffee/aiproject and open the nn.ipynb file in Jupyter Notebook Editor and run the cells. OR
3. Run the notebook in Google Colab (Google Sign in required):

helper.py is a python file that helps to view images and graphs at the same time

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