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DPS921/PyTorch: Convolutional Neural Networks

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Data Parallelism
== Data Parallelism ==
This section details the ways a way to parallelize your NN [https://pytorch.org/tutorials/beginner/blitz/data_parallel_tutorial.html].
As image recognition is graphical in nature, multiple GPUs are the best way to parallelize dataset training. <code>DataParallel</code> is a single-machine parallel model, that uses multiple GPUs[https://pytorch.org/tutorials/beginner/blitz/data_parallel_tutorial.html]. It is more convenient than a multi-machine, distributed training model.
You can easily put your model on a GPU by writing:
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