Caffe Training in Coventry

Caffe Training in Coventry

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.

Coventry - The Quadrant

The Quadrant
Warwick Road
Coventry, WAR CV1 2DY
United Kingdom
Warwickshire GB
Coventry - The Quadrant
The business centre is located within the sought after professional district of the city centre of Coventry. The workspace is within a five minute walk of Coventry train station, public transport routes, car parking facilities (we also have onsite car parking), banks, estate agents and city council... Read more

Caffe Course Events - Coventry

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
caffe Deep Learning for Vision with Caffe Coventry - The Quadrant 21 hours Wed, 2018-05-30 09:30 £3900 / £4650
caffe Deep Learning for Vision with Caffe Coventry - The Quadrant 21 hours Mon, 2018-08-06 09:30 £3900 / £4650
caffe Deep Learning for Vision with Caffe Coventry - The Quadrant 21 hours Mon, 2018-10-01 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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