Caffe Training in Aberdeen

Caffe Training in Aberdeen

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.

Aberdeen - Berry Street

Regus Aberdeen Berry Street
1 Berry Street
Aberdeen, ABD AB25 1HF
United Kingdom
Aberdeenshire GB
Aberdeen - Berry Street
The Berry Street Centre occupies a three-storey 1950s building, which has recently been refurbished to a high specification. It is in a prominent and convenient location in the heart of Aberdeen's busy and thriving retail and business area and close to all amenities. The off-shore oil capital of... Read more

Caffe Course Events - Aberdeen

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
caffe Deep Learning for Vision with Caffe Aberdeen - Berry Street 21 hours Mon, 2018-05-14 09:30 £3900 / £4890
caffe Deep Learning for Vision with Caffe Aberdeen - Berry Street 21 hours Wed, 2018-07-04 09:30 £3900 / £4890
caffe Deep Learning for Vision with Caffe Aberdeen - Berry Street 21 hours Tue, 2018-08-28 09:30 £3900 / £4890
caffe Deep Learning for Vision with Caffe Aberdeen - Berry Street 21 hours Mon, 2018-10-22 09:30 £3900 / £4890

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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