Deep Learning with PyTorch

This repo contains notebooks with outlines of concepts and approaches used to build Deep Learning models using PyTorch. (Ideal for Revision purposes)

Each notebook explores different concepts along with suitable examples.

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Required libraries are mentioned in requirements.txt.

Note - Only use requirements.txt if CUDA version 12.1 is available.

To install pytorch cpu version or any other CUDA version, perform the following steps -

1. Remove the following libraries from requriements.txt before running pip install -r requirements.txt -
   • torch
   • torchaudio
   • torchvision
2. Head to pytoch.org and select your system specifications.
3. Copy and run the generated command to install PyTorch.

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Credit - DataCamp