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. Penang Island onsite live Apache SINGA trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Bayan Lepas, iDEAL
73-3-1, Ideal@The One, Jalan , Kuala Lumpur, malaysia, 11950
The iDEAL Bayan Baru is located in the township near Bayan Lepas, Penang International Airport and also the second Penang Bri...
The iDEAL Bayan Baru is located in the township near Bayan Lepas, Penang International Airport and also the second Penang Bridge. The Building is located in Bayan Baru CBD, and within Bayan Lepas Free Trade Zone. Due to its proximity to the free trade zone that is home to many MNCs, this South-West District is one of the preferred retail/shopping destination s for working professionals, families, visitors and MICE (meeting, incentive, convention, exhibition).
Bayan Baru as part of the Penang Cybercity phase 1, has been identified as a key focus market in Malaysia’s development plan for 2015. It has easy access to corporate offices, restaurants, banks and many more amenities. Our center provide flexible, fully-equipped office workspaces for businesses large and small, branch or sales offices, agencies and consultancies, with comprehensive services at a reasonable price.
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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