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A Vision for Making Deep Learning Simple

A Vision for Making Deep Learning Simple When MapReduce was introduced 15 years ago, it showed the world a glimpse into the future. For the first time, engineers at Silicon Vall...

2018/05/17 22:57
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Deep Learning Models on Kubernetes with GPUs

Deploying Deep Learning Models on Kubernetes with GPUs April 19, 2018 by ML Blog Team This post is authored by Mathew Salvaris and Fidan Boylu Uz, Senior Data Scientists at Micr...

Introducing Deep Learning Pipelines for Apache Spark

Introducing Deep Learning Pipelines for Apache Spark Deep Learning Pipelines is a new library published by Databricks to provide high-level APIs for scalable deep learning model...

2018/05/17 23:01
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SwiftStack 7 storage upgrade targets AI, machine learning use cases

SwiftStack turned its focus to artificial intelligence, machine learning and big data analytics with a major update to its object- and file-based storage and data management sof...

2020/03/18 16:33
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Nvidia和arm合作推进物联网智能

NVIDIA Deep Learning Accelerator IP to be Integrated into Arm Project Trillium Platform, Easing Building of Deep Learning IoT Chips GPU Technology Conference — NVIDIA and Arm t...

使用Python进行机器学习的7步走

There are many Python machine learning resources freely available online. Where to begin? How to proceed? Go from zero to Python machine learning hero in 7 steps! By Matthew May...

2016/03/09 15:09
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Keras 深度学习框架相关资源

这里是基于Keras的相关资源(来自于作者François Chollet,本人翻译追加了部分中文资源),包括教程和源码、第三方库、应用项目等的链接。如果您有高质量的资源,欢迎分享。...

Image Data Support in Apache Spark

Image Data Support in Apache Spark March 5, 2018 by ML Blog Team This post is co-authored by the Microsoft Azure Machine Learning team, in collaboration with Databricks Machine ...

2018/04/27 14:49
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Spark上的深度学习流水线

Spark上的深度学习流水线 本文根据 https://github.com/databricks/spark-deep-learning 翻译。 本文地址 https://my.oschina.net/u/2306127/blog/1811876,By openthings,2018-05-18. 深度...

深度学习的基础设施(英)

来自于【http://openai.org】 By Vicki Cheung, Jonas Schneider, Ilya Sutskever, and Greg Brockman August 29, 2016 Deep learning is an empirical science, and the quality of a grou...

Adaptable DL with nGraph™ Compiler and ONNX*

Adaptable Deep Learning Solutions with nGraph™ Compiler and ONNX* Artificial intelligence methods and deep learning techniques based on neural networks continue to gain adopti...

2018/07/29 18:34
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The Google Brain Team — Looking Back on 2017 (Part 1 of 2)

The Google Brain Team — Looking Back on 2017 (Part 1 of 2) Thursday, January 11, 2018 Posted by Jeff Dean, Google Senior Fellow, on behalf of the entire Google Brain Team The G...

分布式机器学习框架-TensorFlow on Spark(英)

TensorFlow还可以在Spark上分布式地运行哦!尽管TensorFlow也开放了自己的分布式运行框架,但在Spark上可以更容易地使用已有的知识和软硬件基础设施,而且更加开放。...

Keras 深度学习框架相关资源(MD版)

这里是基于Keras的相关资源(来自于作者François Chollet,本人翻译追加了部分中文资源),包括教程和源码、第三方库、应用项目等的链接。如果您有高质量的资源,欢迎分享。...

Spark的GPU支持方法研究

本文持续更新中,转载请注明来源:https://my.oschina.net/u/2306127/blog/1602291 为了使用Spark进行机器学习,支持GPU是必须的,上层再运行神经网络引擎。目前AWS\GCP和Databricks的云都已...

深度学习引擎-PyTorch资源集锦

《深度学习引擎-PyTorch资源集锦》包含大量与 PyTorch (https://pytorch.org/)相关的资源链接,带你快速玩转基于神经网络的深度学习,进入人工智能的神秘领地。链接包括:入门教程,应用实...

2019/03/09 07:39
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基于Kubernetes的机器学习系统

基于Kubernetes的机器学习系统 基于Kubernetes搭建机器学习系统,将可以利用大型集群管理和微服务架构实现大规模、生产级的训练、研究和应用机器学习系统,Nvidia的 HGX超级机器学习平台 也基...

2018/06/02 06:33
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ONNX Models to be Runnable Natively on Windows

ONNX Models to be Runnable Natively on 100s of Millions of Windows Devices March 7, 2018 by ML Blog Team This post was authored by Eric Boyd, CVP, AI Data & Infrastructure. Toda...

2016深度学习统治人工智能?深度学习十大框架

2015 年结束了,是时候看看 2016 年的技术趋势,尤其是关于深度学习方面。 新智元在 2015 年底发过一篇文章《深度学习会让机器学习工程师失业吗?》,引起很大的反响。的确,过去一年的时间里...

Keras: 基于Theano和TensorFlow的深度学习库

Keras is a minimalist, highly modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano. It was developed with a focus on e...

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