Online or onsite, 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 "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Apache SINGA trainings in Paris can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Paris, Opera Bourse
Nobleprog Paris, 15 Rue Taitbout, Paris, france, 75009
At the corner of Boulevard Haussmann and Rue Taitbout, the Multiburo Opera-Bourse business center is located in the heart ...
At the corner of Boulevard Haussmann and Rue Taitbout, the Multiburo Opera-Bourse business center is located in the heart of the largest financial center in Paris, but also within walking distance of the department stores. This area between the Paris Opera and the Bourse is always very attractive due to its cultural aspects and its economic dynamism. The establishment of seats of international groups (in the financial and insurance sector) shows the renown of the places
Access:
Train station
10 min by foot far from Saint-Lazare
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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