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01.getting-started-with-pytorch.ipynb

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"\n",
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"- Running out of GPU memory: You might be leaking memory or too large of a dataset/model. Faster/better GPU always helps. But remember, you can solve really large problems with a single powerful GPU these days. Think carefully if that is not enough for you - why that is?\n",
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"\n",
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"# Conclusion\n",
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"## Conclusion\n",
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"Welcome to the dark side! You might've been working with Keras, TensorFlow, or another Deep Learning framework, until recently. Almost every framework is great, but PyTorch has really solid roots. Easy to use and understand, allows for fast experimentation and standard debugging tools apply! Enjoy!\n",
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"# References\n",
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"## References\n",
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"- [\"PyTorch: A Modern Library for Machine Learning\" with Adam Paszke](https://www.youtube.com/watch?v=5bSAipCNqXo)\n",
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"- [Recitation 1 | Your First Deep Learning Code](https://www.youtube.com/watch?v=KrCp_yPVOxs)\n",

manuscript/01.getting-started-with-pytorch.md

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- Running out of GPU memory: You might be leaking memory or too large of a dataset/model. Faster/better GPU always helps. But remember, you can solve really large problems with a single powerful GPU these days. Think carefully if that is not enough for you - why that is?
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# Conclusion
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## Conclusion
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Welcome to the dark side! You might've been working with Keras, TensorFlow, or another Deep Learning framework, until recently. Almost every framework is great, but PyTorch has really solid roots. Easy to use and understand, allows for fast experimentation and standard debugging tools apply! Enjoy!
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# References
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## References
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- ["PyTorch: A Modern Library for Machine Learning" with Adam Paszke](https://www.youtube.com/watch?v=5bSAipCNqXo)
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- [Recitation 1 | Your First Deep Learning Code](https://www.youtube.com/watch?v=KrCp_yPVOxs)

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