Apache SINGA Training in Edinburgh

SINGA is a general distributed deep learning platform for training big deep learning models over large datasets.

Edinburgh Training and Conference Venue

Edinburgh Training and Conference Venue
16 St. Mary's Street
Edinburgh, MLN EH1 1SU
United Kingdom
Midlothian GB
Edinburgh Training and Conference Venue
Right in the heart of Edinburgh’s old town, with really easy transport links and Waverley Train Station only five minutes walk away, this is a great location...Read more

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Course Outlines

Code Name Duration Outline
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

 

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