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 training can be carried out locally on customer premises in Denver or in NobleProg corporate training centers in Denver.
NobleProg -- Your Local Training Provider
CO, Denver - DTC Corporate Center III
7900 East Union Avenue Suite 1100, Denver, united states, 80237
The office in Denver Corporate is located at the heart of the Denver Tech Center - the district that is home to many of th...
The office in Denver Corporate is located at the heart of the Denver Tech Center - the district that is home to many of the city's major businesses and corporations. The Rocky Mountains can be seen from these 11th-floor offices, as well as the downtown skyline. The Denver Tech Center itself is strategically located at the junction between Interstates 225 and 25. It's minutes away from Belleview Light Rail station, with hotels and restaurants surrounding it. Its state-of-the-art office facilities come with beautiful mountain views.
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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