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 Stuttgart or in NobleProg corporate training centers in Stuttgart.
Our training facilities are located at Löffelstraße 40 in Stuttgart. Our spacious tr...
Overview
Our training facilities are located at Löffelstraße 40 in Stuttgart. Our spacious training rooms are easy to reach thanks to good traffic connections and offer optimal training conditions.
Arrival
The NobleProg training facilities are conveniently located near the B27, the feeder road to the A8 motorway. If you arrive by public transport, the nearest underground station is Degerloch/Albstrasse.
Parking
Around our training rooms you will find numerous parking spaces which are not subject to charges.
Local Services
Not far from Löfflerstrasse you will find various restaurants and hotels, including the Hotel Harambe Afrika.
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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Testimonials (2)
We had an overview about Machine Learning, Neural Networks, AI with practical examples.
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