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 Rotterdam can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Rotterdam
Novotel Rotterdam Brainpark, K.P. van der Mandelelaan 150, Rotterdam, Netherlands, 3062 MB
The meeting rooms in Brainpark in Rotterdam are located at one of the most prestigious business addresses of the city, on the...
The meeting rooms in Brainpark in Rotterdam are located at one of the most prestigious business addresses of the city, on the most famous business park in Rotterdam. Among the locally established companies are international and smaller specialized companies in the service sector, mainly financial, consultancy and cargo-related services, which shows the importance of Rotterdam as an international deep-water sea and river port, the gateway to European markets for a wide selection industrial and consumer products.
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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