Archives for parallel computing
due to the large size and computational complexities of the models and data, the performance of networks is reduced. Parallel and distributed deep learning approaches can be helpful in improving the performance.
Parallel computing is a sort of computation that performs several calculations or processes at the same time.
Training bigger neural networks can be challenging when faced with accelerator memory limits. The size of the datasets being used by machine learning models is very large nowadays. For example, a standard image classification datasets like hashtagged Instagram contains millions of images. With the increasing quality of the images, the memory required will also increase.…
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