This folder provides tutorial code for deep learning researchers to learn PyTorch.
- PyTorch
- Initialising, slicing, reshaping tensors
- Numpy and PyTorch interfacing
- GPU support for PyTorch + Enabling GPUs on Google Colab
- Speed comparisons, Numpy -- PyTorch -- PyTorch on GPU
- Autodiff concepts and application
- Writing a basic learning loop using autograd
- Conclusion
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Click here to open the code in colab
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If kaggle kernel is your jam, feel free to fork or download the kernel and start practising https://www.kaggle.com/niranjankumarc/gettingstartedwithpytorch-gpu
- Check out the medium Blog Post Getting Started With Pytorch In Google Collab With Free GPU for detailed explanation.