Online or onsite, instructor-led live Caffe training courses demonstrate through interactive discussion and hands-on practice the application of Caffe as a Deep learning framework.
Caffe 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 Caffe trainings in York can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
York
15 Priory Street, York, united kingdom, YO1 6ET
Accessible conference space centrally located in the heart of York,within easy walking distance from York railway station.
S...
Accessible conference space centrally located in the heart of York,within easy walking distance from York railway station.
Standard lunch is a mixture of vegetarian and non-vegetarian food, which can be tailored to individual requirements and we can offer catering for a wide range of specialist dietary, cultural or religious needs. Where possible, we ask our suppliers to source fair trade or local produce that is organic, free range and GM free.
Address: 15 Priory Street, York, YO1 6ET
Telephone: 01904 621133
Web: http://www.priorystreetcentre.org.uk/
York is a walled city in northeast England that was founded by the ancient Romans. The city offers a wealth of historic attractions, of which York Minster is the most prominent, and a variety of cultural and sporting activities making it a popular tourist destination for millions.
Caffe is a deep learning framework made with expression, speed, and modularity in mind.
This course explores the application of Caffe as a Deep learning framework for image recognition using MNIST as an example
Audience
This course is suitable for Deep Learning researchers and engineers interested in utilizing Caffe as a framework.
After completing this course, delegates will be able to:
understand Caffe’s structure and deployment mechanisms
carry out installation / production environment / architecture tasks and configuration
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