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Webinar: Deep Learning 101

Deep neural networks are capable of amazing levels of representation power resulting in state-of-the-art accuracy in areas such as computer vision, speech recognition, natural language processing,

Authored by Andres Rodriguez (Intel) Last updated on 10/24/2018 - 15:36
Article

How to Get Started as a Developer in AI

The promise of artificial intelligence has captured our cultural imagination since at least the 1950s—inspiring computer scientists to create new and increasingly complex technologies, while also building excitement about the future among regular everyday consumers.
Authored by Singh, Niven (Intel) Last updated on 03/09/2019 - 13:10
Blog post

SHEPHERD: Just when I thought I was out... they pull me back in

Don't get me wrong, I was a quite willing participant with all of this. 

Authored by Last updated on 07/10/2018 - 08:08
Article

Case Study – Using the Intel® Deep Learning SDK for Training Image Recognition Models

In this case study, we explore LeNet*,one of the prominent image recognition topologies for handwritten digit recognition, and show how the training tool can be used to visually set up, tune, and train the Mixed National Institute of Standards and Technology (MNIST) dataset on Caffe* optimized for Intel® architecture. Data scientists are the intended audience.
Authored by Meghana R. (Intel) Last updated on 01/24/2018 - 15:35
Video

Nervana's End-to-End Speech Recognition with neon™

This Meetup covers the basic ideas that go into building an end-to-end speech recognition system trained entirely using deep learning techniques.

Authored by Anthony N. (Intel) Last updated on 05/08/2018 - 11:39
Video

BigDL: Distributed Deep Learning on Apache Spark

BigDL is a distributed deep learning library for Apache Spark*; with BigDL, users can write their deep learning applications as standard Spark programs, which can directly run on top of existing Sp

Authored by Gerald M. (Intel) Last updated on 03/11/2019 - 13:17
Blog post

Intel® Student Ambassador Program for AI: What Is It?

In November of 2016 we announced the Intel® AI Academy for Students, created to work collaboratively with students at innovative schools and universities doing great work in the Deep Learning and A

Authored by Bob Duffy (Intel) Last updated on 05/08/2019 - 15:30
Video

网络研讨会:深度学习 101

深度神经网络具备出色的高级表达功能,并在诸多领域展示了一流的准确性,如计算机视觉、语音识别、自然语言处理以及各种数据分析领域。 深度网络需要训练大量的计算。 英特尔正在优化常见的框架,如 Caffe*、TensorFlow* 和 Theano* 等,以显著提升性能,缩短单个节点的训练总时间。 英特尔还在增强上述框架的多节点分布式训练功能,以在多个节点间分享计算要求,进一步缩短训练时间。

Authored by IDZSupport K. Last updated on 01/17/2019 - 02:17
Article

Intel® Distribution for Python 2017 Update 2 accelerates five key areas for impressive performance gains

Intel Corporation is pleased to announce the release of Intel® Distribution for Python* 2017 Update 2, which offers both performance improvements and new features. 

Authored by Sergey Maidanov (Intel) Last updated on 05/25/2018 - 11:00
Video

Intel® Student Developer AI Workshop - University of California Berkeley

Watch this video for a sneak peek at the on campus technical workshops supported by the Intel® Student Developer Program for AI.

Authored by Singh, Niven (Intel) Last updated on 01/24/2018 - 15:35