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Microsoft Cognitive Toolkit 2.x培训

 
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上课地点:【石家庄分部】:河北科技大学/瑞景大厦 【深圳分部】:电影大厦(地铁一号线大剧院站)/深圳大学成教院【广州分部】:广粮大厦 【西安分部】:协同大厦 【南京分部】:金港大厦(和燕路) 【武汉分部】:佳源大厦(高新二路)【沈阳分部】:沈阳理工大学/六宅臻品 【郑州分部】:郑州大学/锦华大厦 【上海】:同济大学(沪西)/新城金郡商务楼(11号线白银路站) 【北京分部】:北京中山学院/福鑫大楼 【成都分部】:领馆区1号(中和大道)
最近开课时间(周末班/连续班/晚班):2019年1月26日
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课程大纲
 

Microsoft Cognitive Toolkit 2.x (previously CNTK) is an open-source, commercial-grade toolkit that trains deep learning algorithms to learn like the human brain. According to Microsoft, CNTK can be 5-10x faster than TensorFlow on recurrent networks, and 2 to 3 times faster than TensorFlow for image-related tasks.

In this instructor-led, live training, participants will learn how to use Microsoft Cognitive Toolkit to create, train and evaluate deep learning algorithms for use in commercial-grade AI applications involving multiple types of data such as data, speech, text, and images.

By the end of this training, participants will be able to:

Access CNTK as a library from within a Python, C#, or C++ program
Use CNTK as a standalone machine learning tool through its own model description language (BrainScript)
Use the CNTK model evaluation functionality from a Java program
Combine feed-forward DNNs, convolutional nets (CNNs), and recurrent networks (RNNs/LSTMs)
Scale computation capacity on CPUs, GPUs and multiple machines
Access massive datasets using existing programming languages and algorithms
Audience

Developers
Data scientists
Format of the course

Part lecture, part discussion, exercises and heavy hands-on practice
Note

If you wish to customize any part of this training, including the programming language of choice, please contact us to arrange.

To request a customized course outline for this training, please contact us.

 
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