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
- Open
neural_network.ipynb
for all the code and results. OR - Clone the repository with
git clone https://github.com/tito-coffee/aiproject
and open thenn.ipynb
file in Jupyter Notebook Editor and run the cells. OR - 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