Caffe Training in Exeter

Caffe Training in Exeter

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.

Exeter - The Senate

The Senate
Southernhay Gardens
Exeter, DEV EX1 1UG
United Kingdom
Devon GB
Exeter - The Senate
The business centre is located in Exeter, with excellent transport links that is served by two mainline train stations, Exeter Central and Exeter St Davids, which provide regular rail services to all major UK cities. Exeter has been identified by as one of the top 10 most profitable business... Read more

Caffe Course Events - Exeter

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
caffe Deep Learning for Vision with Caffe Exeter - The Senate 21 hours Mon, 2018-05-14 09:30 £3900 / £4800
caffe Deep Learning for Vision with Caffe Exeter - The Senate 21 hours Wed, 2018-07-04 09:30 £3900 / £4800
caffe Deep Learning for Vision with Caffe Exeter - The Senate 21 hours Wed, 2018-09-05 09:30 £3900 / £4800
caffe Deep Learning for Vision with Caffe Exeter - The Senate 21 hours Wed, 2018-10-31 09:30 £3900 / £4800

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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Course Discounts

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Outline Tag Cloud

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