Pytorch, Deep Learning, Optimization, Tensorboard, Deep Dives.
asynchronous. This means that we can prepare the next training batch in the GPU in parallel to running the training step on the current batch. It is important to note that although asynchronous execution will generally increase performance, it can also reduce the accuracy of time measurements. For