Apache SINGA Training Courses

Apache SINGA Training

Local, instructor-led live Apache SINGA training courses demonstrate through interactive discussion and hands-on practice the fundamentals and advanced topics of Apache SINGA. Apache SINGA training is available as "onsite live training" or "remote live training". Onsite live training can be carried out locally on customer premises in Venezuela or in NobleProg corporate training centers in Venezuela. Remote live training is carried out by way of an interactive, remote desktop. NobleProg -- Your Local Training Provider

Course Outlines

Code Name Duration Overview
singa Mastering Apache SINGA 21 hours SINGA is a general distributed deep learning platform for training big deep learning models over large datasets. It is designed with an intuitive programming model based on the layer abstraction. A variety of popular deep learning models are supported, namely feed-forward models including convolutional neural networks (CNN), energy models like restricted Boltzmann machine (RBM), and recurrent neural networks (RNN). Many built-in layers are provided for users. SINGA architecture is sufficiently flexible to run synchronous, asynchronous and hybrid training frameworks. SINGA also supports different neural net partitioning schemes to parallelize the training of large models, namely partitioning on batch dimension, feature dimension or hybrid partitioning. Audience This course is directed at researchers, engineers and developers seeking to utilize Apache SINGA as a deep learning framework. After completing this course, delegates will: understand SINGA’s structure and deployment mechanisms be able to carry out installation / production environment / architecture tasks and configuration be able to assess code quality, perform debugging, monitoring be able to implement advanced production like training models, embedding terms, building graphs and logging  

Upcoming Courses

CourseCourse DateCourse Price [Remote / Classroom]
Mastering Apache SINGA - Caracas - Centro LidoMon, 2018-07-16 09:30N/A / 5567USD
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Course Discounts

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