IBM Deep Learning Service

18 Sep 2017Bishwaranjan BhattacharjeeScott BoagChandani DoshiParijat DubeBen HertaVatche IshakianK. R. JayaramRania KhalafAvesh KrishnaYu Bo LiVinod MuthusamyRuchir PuriYufei RenFlorian RosenbergSeetharami R. SeelamYandong WangJian Ming ZhangLi Zhang

Deep learning driven by large neural network models is overtaking traditional machine learning methods for understanding unstructured and perceptual data domains such as speech, text, and vision. At the same time, the "as-a-Service"-based business model on the cloud is fundamentally transforming the information technology industry... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet