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 Colombo or in NobleProg corporate training centers in Colombo.
NobleProg -- Your Local Training Provider
Colombo - Classroom
Colombo 7, No 58, Dharmapala Mawatha, Colombo, sri lanka, 00700
It is just a few metres away from Sri Lanka's famous Liberty Plaza shopping mall and is closely located to some of the bes...
It is just a few metres away from Sri Lanka's famous Liberty Plaza shopping mall and is closely located to some of the best restaurants and department stores in the city. It is also home to many bank and financial services companies including Citi Bank , HNB Bank, Sampath Bank & NDB Bank. The ICICI Bank is located on the ground floor of this building.
Major Offerings
6-8 seats batches on weekdays
12-16 seats batches over the weekend
State of the art audio/video webinars/seminars and presentation solutions
One-on-one Training sessions upon request
We encourage our students and delegates to bring along their own laptops during the exercises, as this helps in retaining the examples and handson exercises in their systems for post-session reference.
For Sales Enquires and Meetings
Please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
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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