Apache SINGA Training in London

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

London, Hatton Garden

London, Hatton Garden
Etc. Venues 51-53 Hatton Garden
London , LND EC1N 8HN
United Kingdom
London GB
London, Hatton Garden
Overview Located near Farringdon and Chancery Lane. A stylish and impressive eight-storey Art Deco building ideal for hosting a range of training, conferences and meetings near Farringdon and Chancery Lane stations. Directions The Hatton is located in London's Diamond District in Hatton Garden. By... 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.


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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