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Using TensorFlow* for Deep Learning Training and Testing

Learn to train and test on a single-node Intel® Xeon® Scalable processor (CPU) platform system using the TensorFlow* framework

AI News | How to Improve Privacy Features in Facial Recognition

上次更新时间:2018 年 8 月 9 日

Learn how between 1999 and 2014, the U.S. government fined companies over 130 Million dollars for privacy violations, and how Cory  Llo  and Iman Saleh, are advocating for privacy as one of the initial steps in computer-vision design.

interpretation of a Python

Intel® Optimization for TensorFlow* Installation Guide

Intel® optimization for TensorFlow* is available for Linux*, including installation methods described in this technical article. The different...

Knowledge Distillation with Keras*

发布时间:2018 年 8 月 9 日作者:Ujjwal U.

The problem that we are facing right now is that we have built sophisticated models that can perform complex...

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Binary Neural Networks

Binary neural networks are networks with binary weights and activations at run time. At training time these weights and...

Intel® Developer Zone Update | August 2018

上次更新时间:2018 年 8 月 7 日

Learn about the future of the fast-food industry will be focused on dramatically reducing food waste. Find out how Intel developers are making the retail sector much safer for business owners.

AI News | Why are People So Scared of Artif

上次更新时间:2018 年 8 月 6 日

Learn about a recent Intel survey that found that 54% of participants expect widespread adoption of Artificial Intelligence within the next 5 years, and discover people’s perceptions of how it will affect their lives.

Burmese cat recognition

Scaling Object Detection with Kubernetes* and Kubeflow

Kubeflow is a Machine Learning toolkit that runs on top Kubernetes*. This article will go through the steps of preparing the data, executing the...

Deep Learning Bengali Character Recognition from Real-World Images

发布时间:2018 年 8 月 2 日作者:Debdyut

The aim of this project is to apply deep learning models for recognition of Bengali characters and numerals. For training we used publicly available...

Inference Engine Developer Guide

Deploying deep learning networks from the training environment to embedded platforms for inference is a complex task. The Inference Engine deployment...

Model Optimizer Developer Guide

Introduction

Model Optimizer is a cross-platform command-line tool that facilitates the transition between the training and deployment...

Deploy Real-Time Object Detectors on Intel® Movidius™ Neural Compute Stick

上次更新时间:2018 年 7 月 27 日视频时长:58 分钟

Learn how to deploy object detector neural networks onto edge devices using the Intel® Movidius™ Neural Compute Stick.

Prize-Winning AI Development for the Intel® Movidius™ Neural Compute Stick

Developers all over the world competed to build and tune high-performance embedded deep neural networks (DNNs) using the...

AI News | What is Artificial Intelligence?

上次更新时间:2018 年 7 月 26 日

Understanding and adoption of AI has become more common, but how do you define Artificial Intelligence, and what does machine learning actually mean?

Transfer Learning in Natural Language Processing

Transfer Learning was limited to computer vision up till now, but recent work shows that the impact can be extended almost everywhere, including...

AI News | Intel, China, & Chris Lee

上次更新时间:2018 年 7 月 23 日

Learn how Intel’s achievements in China have been recognized, and how we’re innovating the future of entertainment with Artificial Intelligence!

Doctor Hazel: A Real Time AI Device for Skin Cancer Detection

发布时间:2018 年 7 月 23 日作者:Peter Ma

Why We Built Doctor Hazel

According to the Skin Cancer Foundation, half of the population in the United States is diagnosed with some form of...

Preview Intel® AI DevCamp

上次更新时间:2018 年 7 月 17 日

Take a look behind the scenes of the recent Intel® AI DevCamp held in Chicago, Illinois.

AI News | Artificial Intelligence in the 2020 Tokyo Olympic Games

上次更新时间:2018 年 7 月 12 日

Learn about how developers were asked for their ideas on how to enhance the world's largest sporting event as part of the Intel AI Challenge for the Olympic Games.

Privacy-Preserving Face Features Detection

Discusses how to design for privacy preservation in a face detection framework. The design approach enables the extraction of facial features and...

Extract the Value of Cryptocurrency from Sentiment Analysis

发布时间:2018 年 7 月 9 日

See how this Intel® Student Ambassador created a business that provides insight into cryptocurrency trading. His process uses recurrent neural tensor...

Game Dev with Unity* ML-Agents and Intel® Optimized Python* (Part Two)

发布时间:2018 年 7 月 6 日作者:Manisha B.

In the final part of this two-part series on machine learning with Unity* ML-Agents, we will dig deeper into the architecture and create an ML-Agent...

Unity* ML-Agent 和英特尔® 优化 Python* 助力游戏开发(第二部分)

发布时间:2018 年 7 月 6 日作者:Manisha B.

借助 Unity* ML-Agent 进行机器学习系列总共包含两个部分,这是其中的最后一部分,我们将深入研究其体系结构并从头开始创建 ML-Agent。训练之前,我们将检查需要参数以便机器学习继续进行的文件。最后,我们将使用英特尔®优化 Python* 训练代理,并展示最终的系统如何运行。

AI News | Intel’s Collaboration with Institut Curie

上次更新时间:2018 年 7 月 5 日

Learn about how the collaboration between Institut Curie and Intel aims to bridge the gap between AI and medical technology. This will create a cost-effective and efficient AI platform which will become a leading model in France and throughout Europe.

使用 TensorFlow* 进行深度学习训练和测试

学习使用 TensorFlow* 框架对单节点英特尔® 至强® 可扩展处理器 (CPU) 平台系统进行训练和测试

Using Natural Language Processing for Smart Question Generation

发布时间:2018 年 7 月 4 日作者:aditya s.

Introduction

Automatic question generation is part of Natural Language Processing (NLP). It is an area of research where many researchers have...

Accelerate Machine Learning with Intel® Software Development Tools

上次更新时间:2018 年 7 月 3 日

Speed up your machine learning application code and turn data into insight and actionable results. Intel® Data Analytics Acceleration Library (Intel® DAAL) includes higher-level algorithms to process large datasets, and Intel® Distribution for Python* delivers super fast accelerated Python application performance right out of the box.

Deep Learning and Natural Language Processing (NLP)

上次更新时间:2018 年 7 月 3 日视频时长:1 小时 1 分钟

Classifying Natural Language Processing (NLP) with deep learning

heat maps of multiple lungs

Deep Learning: Build a Black Box Model for Medical Professionals

Building a Black Box Model Using Transfer Learning Introduction

In the 21st century, the years of big data and big innovations in medicine, we...

Build and Install TensorFlow* Serving on Intel® Architecture

发布时间:!datetime,更新时间: 2018 年 6 月 29 日作者:Bryan B. (Intel)

This paper describes how to build and install Intel® optimization for TensorFlow* Serving, a high-performance serving system for machine learning...

Train a TensorFlow* Model on Intel® Architecture

发布时间:!datetime,更新时间: 2018 年 6 月 29 日作者:Bryan B. (Intel)

You will learn how to train and save a TensorFlow* model, build a TensorFlow model server, and test the server using a client application.

Introduction to Intel® Optimization for TensorFlow*

上次更新时间:2018 年 6 月 29 日视频时长:49 分钟

This webinar provides information for developers who want to build, install, and explore Intel® Optimization for TensorFlow*.

AI News | 2018 International Conference on Machine Learning

上次更新时间:2018 年 6 月 28 日

Learn about the 2018 International Conference on Machine Learning taking place from July 10th - 15th in Stockholm Sweden.

Using Intel® Xeon® processors for Multi-node Scaling of TensorFlow* with Horovod*

Details how to setup distributed training on multi-node clusters of Intel® Xeon® platforms (CPU) using a Horovod*-based configuration option for the...

steel plate deformities examples

Use Machine Learning to Detect Defects on the Steel Surface

发布时间:2018 年 6 月 27 日作者:SAURABH G.

This article provides an effective and robust approach to detect and classify metal defects using computer vision and machine learning.

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