Article

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 image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
Authored by Gennady F. (Blackbelt) Last updated on 07/05/2019 - 14:54
Article

基于英特尔® 至强™ 处理器 E5 产品家族的多节点分布式内存系统上的 Caffe* 培训

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
Authored by Gennady F. (Blackbelt) Last updated on 07/05/2019 - 14:55
Blog post

Top Ten Intel Software Developer Stories | July

Check out the new commercial IoT website, find out more about Embree ray tracing, and read about a long-lived game studio.
Authored by Carman, Vicky (Intel) Last updated on 03/21/2019 - 12:08
Blog post

Track Reconstruction with Deep Learning at the CERN CMS Experiment

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

Mode collapse in GANs

Hello everyone! 

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

Track Reconstruction with Deep Learning at the CERN CMS Experiment

This blog post is part of a series that describes my summer school project at CERN openlab.

Authored by Last updated on 03/21/2019 - 12:00
Blog post

Deep learning for fast simulation: Introduction

Hello everyone!

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

Intel® Distribution for Python* versus Non-Optimized Python: Breast Cancer Classification

This case study compares the performance of Intel® Distribution for Python* to that of non-optimized Python using a breast cancer classification. This comparison was done using machine learning algorithms from the scikit-learn* package in Python.
Authored by admin 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