Apache SINGA Training Courses in New Zealand

Apache SINGA Training Courses

Local, instructorled live Apache SINGA training courses demonstrate through interactive discussion and handson 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 New Zealand or in NobleProg corporate training centers in New Zealand Remote live training is carried out by way of an interactive, remote desktop

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Apache SINGA Course Outlines in New Zealand

Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
Overview
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
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