Deep learning is one of the hottest subjects in the field of computer science these days, fueled by the convergence of massive datasets, highly parallel processing power, and the drive to build ...

The MKL libraries for accelerating math operations debuted in Intel's own Python distribution, but now other Pythons are following suit Last year Intel became a Python distributor, offering its own ...

Intel has been quietly offering pre-release access to its distribution of the Python language, which is outfitted with the Intel Math Kernel Library (MKL) for accelerated computational performance on ...

In Part 1 we introduced Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN), an open source performance library for deep learning applications. Detailed steps were provided on how to ...

Certain applications, such as automated driving, require low latency small matrix-matrix multiplication in real time. They use specialized libraries that can be customized for small matrix operations.

Data scientists and deep and machine learning researchers rely on frameworks and libraries such as Torch, Caffe, TensorFlow, and Theano. Studies by Colfax Research and Kyoto University have found that ...