Article

Manage Deep Learning Networks with Caffe* Optimized for Intel® Architecture

How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
Authored by Andres Rodriguez (Intel) Last updated on 03/11/2019 - 13:17
Article
Article

Improve Performance of K-Means with Intel® Data Analytics Acceleration Library

This article discusses an unsupervised machine-learning algorithm called K-means that can be used to solve the data problems.
Authored by Nguyen, Khang T (Intel) Last updated on 01/24/2018 - 15:35
Article

Distributed Deep Learning with Docker*, Intel® Nervana™ technology, neon™, and Pachyderm*

The recent advances in machine learning and artificial intelligence are amazing! It seems like we see something groundbreaking every day, from self-driving cars, to AIs learning complex games.

Authored by Daniel W. Last updated on 06/08/2018 - 11:40
Article

BigDL: Bring Deep Learning to the Fingertips of Big Data Users and Data Scientists

Big data and analytics play a central role in today’s smart and connected world, and are continuously driving the convergence of big data, analytics, and machine learning/deep learning. We open sourced BigDL, a distributed deep learning library for Apache Spark*, for the very purpose of uniting the deep learning community and the big data community
Authored by Jason Dai (Intel) Last updated on 03/11/2019 - 13:17
Blog post

Mode collapse in GANs

Hello everyone! 

Authored by Last updated on 12/12/2018 - 18:00
Blog post

Deep learning for fast simulation: Introduction

Hello everyone!

Authored by Last updated on 12/12/2018 - 18:00
Article

Maximize TensorFlow* Performance on CPU: Considerations and Recommendations for Inference Workloads

This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
Authored by Nathan Greeneltch (Intel) Last updated on 07/31/2019 - 12:11
Article

How to Install the Python* Version of Intel® Data Analytics Acceleration Library (Intel® DAAL)

Intel® Data Analytics Acceleration Library (Intel® DAAL) is a software solution that offers building blocks covering all the stages of data analytics, from preprocessing to decision making. The beta version of Intel DAAL 2017 provides support for the Python* language.
Authored by Gennady F. (Blackbelt) Last updated on 08/27/2019 - 14:30
Video

Part 1: Overview

Authored by Gerald M. (Intel) Last updated on 09/23/2019 - 10:40