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Updated by Kunihiro Maeda on May 24, 2019
Headline for Deep Learning Good Examples
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Deep Learning Good Examples

ディープラーニングが実用的かつ商業的に成果を上げている導入事例

ディープラーニング(Deep Learning)開発を行う海外スタートアップ3選 | O2O イノベーションラボ

人工知能の領域において、確実に次の革命を起こすと言われているディープラーニング。Google、Facebookを始めとしたIT業界の巨大企業が研究・開発・実装に躍起になっているが、ディープラーニングは一部の大企業にしか関係のない話なのだろうか?そんな事はない。世界を見渡せば、ディープラーニングの可能性に魅せられ、日夜研

How Skype Used AI to Build Its Amazing New Language Translator

Very soon now, a select group of Skype beta testers will have a new Microsoft technology that seems borrowed from the world of Star Trek. It’s called the Skype Translator—a Skype add-on that listens to the English words you speak into Microsoft’s internet phone-calling software and translates them into Spanish, or vice versa. As you…

Machine Learning Discussion Group - Deep Learning w/ Stanford AI Lab (1 of 3)

Adam Coates will give an overview of some recent research projects from the Stanford Artificial Intelligence Lab and will do a presentation with open discuss...

NVIDIA GPUs - The Engine of Deep Learning

Deep learning is the fastest-growing field in machine learning. It uses many-layered Deep Neural Networks (DNNs) to learn levels of representation and abstraction that make sense of data such as images, sound, and text.

Large Scale Visual Recognition Challenge (ILSVRC)

The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) evaluates algorithms for object detection and image classification at large scale. One high level motivation is to allow researchers to compare progress in detection across a wider variety of objects -- taking advantage of the quite expensive labeling effort. Another motivation is to measure the progress of computer vision for large scale image indexing for retrieval and annotation.