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The Potential of the Intel Xeon Phi for Supervised Deep Learning
[article]
2015
arXiv
pre-print
Supervised learning of Convolutional Neural Networks (CNNs), also known as supervised Deep Learning, is a computationally demanding process. To find the most suitable parameters of a network for a given application, numerous training sessions are required. Therefore, reducing the training time per session is essential to fully utilize CNNs in practice. While numerous research groups have addressed the training of CNNs using GPUs, so far not much attention has been paid to the Intel Xeon Phi
arXiv:1506.09067v1
fatcat:txivrpxupjh6lb2x3fiannfaja