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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.

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PyTorch Learning Journey

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.

Playlist Source

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.

Topics Covered

  • 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...

Technologies Used

  • Python 3.x
  • PyTorch
  • NumPy, Matplotlib
  • Jupyter Notebook (optional)
  • Google Colab (optional)

Note

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!

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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.

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