The Potential of the Intel Xeon Phi for Supervised Deep Learning

Understand

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 coprocessor.