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Code Sample: Intel® AVX512-Deep Learning Boost: Intrinsic Functions

How developers can use to take advantage of the new Intel® AVX512-Deep Learning Boost (Intel® AVX512-DL Boost) instructions.

TensorFlow* Sample Codes for Distributed Image Classification

The TensorFlow* image classification sample codes below describe a step-by-step approach to modify the code in order to scale the deep learning...

Code Sample: Optimizing Binarized Neural Networks on Intel® Xeon® Scalable Processors

In the previous article, we discussed the performance and accuracy of Binarized Neural Networks (BNN). We also introduced a BNN coded from scratch in...

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Binary Neural Networks

In this article we delve into the theory, training procedure, and performance of binary neural networks (BNNs).

Training an Agent to Play Pong* Using neon™ Framework

This article showcases the implementation of an agent to play the game Pong* using an Intel® architecture-optimized neon™ framework, and to serve as...

BigDL: Distributed Deep Learning on Apache Spark*

Published on January 31, 2017, updated July 20, 2017

As the leading framework for Distributed ML, the addition of deep learning to the super-popular Spark framework is important, because it allows Spark...

BigDL – Scale-out Deep Learning on Apache Spark* Cluster

Published on March 28, 2017By Sunny G.

Learn how to install and use BigDL for training and testing some of the commonly used deep neural network models on Apache Spark.

Caffe* Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for...