A Guide to Parallel and Distributed Deep Learning for Beginners

In recent years, we have witnessed the success of deep learning across multiple domains. But we have also seen that due to the large size and computational complexities of the models and data, the performance of the deep learning procedures is reduced. To improve the performance of these models, parallel and distributed deep learning approaches have been introduced. In this article, we are going to discuss parallel and distributed deep learning methods in detail and will try to understand how they help in speeding up the deep learning process. The major points to be discussed in this article are listed below.