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

How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
Autor Andres Rodriguez (Intel) Última actualización 11/03/2019 - 13:17

ASTRO - The Robot solution for a Safer and more Productive Workplace

1. Robots and ASTRO
Autor Silviu-Tudor Serban Última actualización 23/06/2019 - 18:50
Mensajes en el blog

Mode collapse in GANs

Hello everyone! 

Autor Última actualización 12/12/2018 - 18:00

CIFAR-10 Classification using Intel® Optimization for TensorFlow*

This work demonstrates the experiments to train and test the deep learning AlexNet* topology with the Intel® Optimization for TensorFlow* library using CIFAR-10 classification data on Intel® Xeon® Scalable processor powered machines. These experiments were conducted with options set at compile time and run time.
Autor Última actualización 18/02/2019 - 13:40

Traffic Light Detection Using the TensorFlow* Object Detection API

This case study evaluates the ability of TensorFlow* Object Detection API to solve a real-time problem such as traffic light detection on Intel® Xeon® processor-based CPU machines.
Autor admin Última actualización 08/05/2018 - 09:30

Understanding Capsule Network Architecture

Learn about Capsule networks (CapsNet), are an advanced approach to previous neural network designs
Autor Kshitiz Rimal Última actualización 29/04/2019 - 11:49

Use Machine Learning to Detect Defects on the Steel Surface

This article provides an effective and robust approach to detect and classify metal defects using computer vision and machine learning.
Autor SAURABH G. Última actualización 22/02/2019 - 11:20

Deep Learning: Build a Black Box Model for Medical Professionals

Building a Black Box Model Using Transfer Learning Introduction
Autor Kocot, Szymon Última actualización 15/08/2018 - 14:28

Apache* MXNet* v1.2.0 optimized with Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN)

Apache* MXNet community announced the v1.2.0 release of the Apache MXNet deep learning framework. One of the most important features in this release is the Intel optimized CPU backend: MXNet now integrates with Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN) to accelerate neural network operators: Convolution, Deconvolution, FullyConnected, Pooling, Batch Normalization,...
Autor Jun Ye (Intel) Última actualización 18/06/2019 - 14:09

使用 TensorFlow* 对象检测 API 实施交通灯检测

本案例研究评估了 TensorFlow* 对象检测 API 处理一个实时任务的能力,即在基于英特尔® 至强® 处理器的机器上进行交通灯检测。
Autor admin Última actualización 13/08/2018 - 23:08