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 Cardiff or in NobleProg corporate training centers in Cardiff.
NobleProg -- Your Local Training Provider
Cardiff
Radisson Blu Hotel, Meridian Gate - Bute Terrace, Cardiff, united kingdom, CF10 2FL
The Radisson Blu Hotel in Cardiff city centre is the perfect hub for your Welsh adventure
Close to several public transpor...
The Radisson Blu Hotel in Cardiff city centre is the perfect hub for your Welsh adventure
Close to several public transportation options, our hotel in Cardiff puts the city centre at your fingertips. Catch a train or a bus at one of the nearby stations, or take the M4 motorway and drive wherever you want to go in Wales and beyond. For those flying into the city, the Cardiff International Airport is just a 30-minute drive from the hotel. You’ll find parking around the hotel at the John Lewis, St David’s II and NCP Pellet Street car parks, plus some parking at the hotel. Enjoy shopping and dining within walking distance of the hotel, and explore the colourful history of this thriving capital city.
The hotel is located on Bute Terrace providing easy access to the M4 at junction 32 only 6 km away.
The central train and bus station is located within a five-minute walk from the hotel.
Cardiff International Airport is located 24 km from the hotel and can be reached by bus, train or taxi.
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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