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

How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
Criado por Andres Rodriguez (Intel) Última atualização em 11/03/2019 - 13:17
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ASTRO - The Robot solution for a Safer and more Productive Workplace

1. Robots and ASTRO
Criado por Silviu-Tudor Serban Última atualização em 23/06/2019 - 18:50
Mensagem de blog

Mode collapse in GANs

Hello everyone! 

Criado por Última atualização em 12/12/2018 - 18:00
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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.
Criado por Última atualização em 18/02/2019 - 13:40
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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.
Criado por administrar Última atualização em 08/05/2018 - 09:30
Article

Understanding Capsule Network Architecture

Learn about Capsule networks (CapsNet), are an advanced approach to previous neural network designs
Criado por Kshitiz Rimal Última atualização em 29/04/2019 - 11:49
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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.
Criado por SAURABH G. Última atualização em 22/02/2019 - 11:20
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Deep Learning: Build a Black Box Model for Medical Professionals

Building a Black Box Model Using Transfer Learning Introduction
Criado por Kocot, Szymon Última atualização em 15/08/2018 - 14:28
Article

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,...
Criado por Jun Ye (Intel) Última atualização em 18/06/2019 - 14:09
Mensagem de blog

Accelerate Deep Image Matting Algorithm Inference on Intel Platforms

Introduction
Criado por Manuj Sabharwal (Intel) Última atualização em 04/01/2019 - 17:00