Comparison of Deep Learning in Neural Networks on CPU and GPU-based frameworks
Kamil Rajab ogly Aida-zade, Elshan Mustafayev, Samir Rustamov · 2017
In the work, the problem of training of deep neural networks on GPU and CPU-based frameworks is investigated. As a test problem, the MNIST Dataset was taken for recognition of handwritten digits. The results of deep learning are compared and analyzed in both frameworks for the current problem.