return t
== Parallelization Methods == This section details the ways to parallelize your NN. As image recognition is graphical in nature, multiple GPUs are the best way to parallelize dataset training. === Single-Machine Model === The Single-Machine Model is a parallel model that is done on one machine, with multiple GPUs. It is more convenient than a distributed training model with multiple machines.
== Getting Started With Jupyter ==