Today, scientific and business industries collect large amounts of data, analyze them, and make decisions based on the outcome of the analysis. This paper compares the performance of Basic Linear Algebra Subprograms (BLAS), libraries OpenBLAS, and the Intel® Math Kernel Library (Intel® MKL).
How do new web sites selling products or services appear at the top of the search list? The key is to use the right keywords that people might use to search for their products or services. Baidu1 is the most popular search engine in China. Ad companies can pay Baidu so that their ads appear at the top of the search list.
Learn how to install and build the library components of the Intel MKL for Deep Neural Networks.
Learn how to install and use BigDL for training and testing some of the commonly used deep neural network models on Apache Spark.
Automated Installation of BigDL Using Deploy to Azure*
This article shares the experience and lessons learned from Intel and JD teams in building a large-scale image feature extraction framework using deep learning on Apache Spark* and BigDL.
In recent years, the scale of datasets and models used in deep learning has increased dramatically. Although larger datasets and models can improve the accuracy in many artificial intelligence (AI) applications, they often take much longer to train on a single machine.
Detecting Acute Lymphoblastic Leukemia Using Caffe*, OpenVINO™ and Intel® Neural Compute Stick 2: Part 2In this article I will cover the steps required to create the dataset required to train the model using the network we defined in the last tutorial.
Getting Started with Intel® Optimization for PyTorch* on Second Generation Intel® Xeon® Scalable ProcessorsAccelerate deep learning PyTorch* code on second generation Intel® Xeon® Scalable processor with Intel® Deep Learning Boost.
Intel Xeon processor outperforms NVidia's best GPUs on ResNet-50.