Microsoft Cntk Mac

Extracting value from large amounts of data {and making human sense of it is one of the primary challenge of data science

Introduction to Data Science

It is possible to install Microsoft CNTK on a macbook? I have OS X El Capitan. Is it possible to install CNTK on a macbook? Ask Question Asked 2 years. Docker is the way to go (at the moment). We've successfully used Docker for Mac users in CNTK tutorials, no. Jul 03, 2018  Simply put, currently not. They are - I think - evaluating the possibility of such a port, but not as of now. As far as I know Mac OS support is on the roadmap. They are planning to move to CMake to support build source on Mac OS at minimum.

1.Find the data

MicrosoftCntk

2.Extract and acquire the data

3.Clean and transform the data

4.Understand the relationships in the data
and build a model

5.Mine for additional data

6.Evaluate and refine the model

7.Communicate the results


Applied Data Science at Microsoft

Cortana {contextual understanding}

Bing {ranking, recommendations}

Windows 10 {Insider telemetry}

Windows Hello {next gen security}

Skype Translator {voice input}

HoloLens {object recognition}

Xbox {gamer matchmaking}

Microsoft Research {innovation}


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Microsoft Cognitive Toolkit

Speed & scalability {while maintaining accuracy}

Commercial-grade AI {used in Cortana & Bing}

Familiar {use Python on Linux or Windows}

C#, R, Spark, Docker, and other open source coming soon

So What is CNTK

CNTK expresses (nearly) arbitrary neural networks by composing simple building blocks into complex computational networks, supporting relevant network types and applications.

CNTK is production-ready: State-of-the-art accuracy, efficient, and scales to multi-GPU/multi-server.

Lego-like composability allows CNTK to support a wide range of networks, e.g.

  • feed-forward DNN
  • RNN, LSTM, GRU
  • convolution
  • DSSM

sequence-to-sequence

CNTK is ideal for a range of applications including

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  1. speech
  2. vision
  3. text
  4. and combinations
  5. Large data sets is the key here; performant

Microsoft’s open-source deep-learning toolkit

  • Ease of use: what, not how
  • Fast
  • Flexible
  • First class on Linux and Windows
  • OpenSource

Getting Started with CNTK

1.Configure reader, network, learner

2.Train & evaluate (multi-phase for layer building)

3.Deploy offline from Python

Binaries & Tutorials

Deep-learning VM Toolkit https://azure.microsoft.com/en-us/marketplace/partners/microsoft-ads/dsvm-deep-learningtoolkit/

Deep-dive lecture & labs

Team Q&A

Escience Whats New in CNTK 2.0 https://esciencegroup.com/2016/11/10/cntk-revisited-a-new-deep-learning-toolkit-release-from-microsoft/

CNTK with GPU Example Using Azure NV12 Series Servers with 12 Cores 128GB Ram and 2 x M60 NVIDIA GPU

Getting Started with Microsoft Cognitive Toolkit Webinar

Microsoft Cognitive Toolkit
Developer(s)Microsoft Research
Initial release25 January 2016; 4 years ago
Stable release
Repository
Written inC++
Operating systemWindows, Linux
TypeLibrary for machine learning and deep learning
LicenseMIT License[1]
Websitewww.microsoft.com/en-us/cognitive-toolkit/

Microsoft Cognitive Toolkit,[2] previously known as CNTK and sometimes styled as The Microsoft Cognitive Toolkit, is a deprecated[3]deep learningframework developed by Microsoft Research. Microsoft Cognitive Toolkit describes neural networks as a series of computational steps via a directed graph.

Microsoft Cntk Macbook

See also[edit]

References[edit]

  1. ^CNTK/LICENSE.md at master · Microsoft/CNTK
  2. ^Linn, Allison (25 October 2016). 'Microsoft releases beta of Microsoft Cognitive Toolkit for deep learning advances'. microsoft.com. Microsoft. Archived from the original on 28 January 2017. Retrieved 30 January 2017. Title: Microsoft releases beta of [no 'The' here] Microsoft Cognitive Toolkit
  3. ^chrisbasoglu. 'CNTK_2_7_Release_Notes - Cognitive Toolkit - CNTK'. docs.microsoft.com. Retrieved 2020-02-24.

Microsoft Cntk Tutorial

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