Understanding GPUs for Deep Learning - DATAVERSITY

Click here to learn more about Gilad David Maayan. Deep learning is the basis for many complex computing tasks, including natural language processing (NLP), computer vision, one-to-one personalized marketing, and big data analysis. Deep learning algorithms are based on neural networks, which commonly have millions of parameters that need to be calculated numerous times in order to train the model. Training a neural network is very computationally intensive, and because these computations can very easily be parallelized, they call for a new approach to hardware. Graphical processing units (GPUs), originally designed for the gaming industry, have a large number of processing cores and very large on-board RAM (compared to traditional CPUs).