Welcome to my PyTorch learning repository! This project documents my journey as I learn PyTorch from basic to advanced using the excellent PyTorch Tutorial for Deep Learning (Basics to Advanced) playlist on YouTube by Krish Naik.
PyTorch Tutorial for Deep Learning (Basics to Advanced)
by Krish Naik
Each folder or script in this repository corresponds to one or more videos from the playlist.
- PyTorch basics: tensors, autograd, datasets, and dataloaders
- Neural networks in PyTorch
- Model training loops
- Optimizers and loss functions
- CNNs, RNNs, LSTMs
- Transfer learning
- Custom datasets and transforms
- Saving/loading models
- And more advanced PyTorch features...
- Python 3.x
- PyTorch
- NumPy, Matplotlib
- Jupyter Notebook (optional)
- Google Colab (optional)
This repository is for my personal learning and project practice. New Notebooks will be added as I learn more.
Feel free to explore the notebooks and connect if you're interested in collaboration or feedback. Let's grow together in the world of Data Science!
- LinkedIn: https://www.linkedin.com/in/hasnain-yaqoob-/
- GitHub: https://github.com/hasnainyaqub
- Kaggle: https://www.kaggle.com/hasnainyaqooob