Caffe Training in Bradford

Caffe Training in Bradford

Caffe is a deep learning framework made with expression, speed, and modularity in mind.

NobleProg onsite 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 in various formats, including onsite live training and live instructor-led training using an interactive, remote desktop setup. Local Caffe training can be carried out live on customer premises or in NobleProg local training centers.

Bradford - Carlisle Business Centre

Carlisle Business Centre
60 Carlisle Road
Bradford, WYK BD8 8BD
United Kingdom
West Yorkshire GB
Bradford - Carlisle Business Centre
Carlisle Business Centre is a not for private profit organisation, driven by a dedicated workforce, that's supported by a voluntary board of directors. We operate as a social enterprise that donates its generated profit to the Action For Community Ltd charity, enabling us to proudly support the... Read more

Caffe Course Events - Bradford

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
caffe Deep Learning for Vision with Caffe Bradford - Carlisle Business Centre 21 hours Mon, 2018-06-18 09:30 £3900 / £4650
caffe Deep Learning for Vision with Caffe Bradford - Carlisle Business Centre 21 hours Tue, 2018-08-21 09:30 £3900 / £4650
caffe Deep Learning for Vision with Caffe Bradford - Carlisle Business Centre 21 hours Mon, 2018-10-15 09:30 £3900 / £4650

Course Outlines

Code Name Duration Outline
caffe Deep Learning for Vision with Caffe 21 hours

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
  • assess code quality, perform debugging, monitoring
  • implement advanced production like training models, implementing layers and logging
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Outline Tag Cloud

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