Computer Vision with PyTorch and FashionMNIST
This repository contains a Jupyter notebook from the Golem Level Up bootcamp (students science club) on computer vision using PyTorch and the FashionMNIST dataset. The notebook provides an introduction to computer vision and deep learning, with a focus on implementing and training convolutional neural networks (CNNs) using PyTorch.
To run the notebook, simply open it in Google Colaboratory and follow along with the provided code. You can also modify the code and experiment with different models and parameters to see how they affect the performance of the CNN.
If you would like to learn more about computer vision, PyTorch, or deep learning, here are some useful resources:
- PyTorch documentation
- FashionMNIST dataset documentation
- Dive into Deep Learning - Interactive deep learning book
- The Fundamental of Convolutional Neural Network
Feel free to ask any questions or provide feedback on the notebook. Happy learning!