Caffe Training in Oxford

Caffe Training in Oxford

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.

Oxford

Oxford
7200 The Quorum Oxford Business Park North, Garsington Road
Oxford, OXF OX4 2JZ
United Kingdom
Oxfordshire GB
Oxford
The top-quality Oxford Business Park Centre is located in a modern building in Oxford's premier business district, just inside the ring road and a 40 minute drive from London. The park offers a thriving environment for businesses of all sizes, working in a range of sectors including engineering,... Read more

Caffe Course Events - Oxford

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
caffe Deep Learning for Vision with Caffe Oxford 21 hours Mon, 2018-06-18 09:30 £3900 / £4725
caffe Deep Learning for Vision with Caffe Oxford 21 hours Wed, 2018-08-08 09:30 £3900 / £4725
caffe Deep Learning for Vision with Caffe Oxford 21 hours Wed, 2018-10-17 09:30 £3900 / £4725

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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