Caffe Training in Cardiff

Caffe Training in Cardiff

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.

Cardiff, Cardiff Bay

Cardiff Bay
Falcon Drive, Cardiff Bay
Cardiff, GLA CF10 4RU
United Kingdom
Glamorgan GB
Cardiff, Cardiff Bay
The training rooms are located under a 8 minute walk from Cardiff Bay Rail station. Enjoy your training with NobleProg in Cardiff, Wales' Capital city where, during your leisure time you'll find a host of unique attractions, superb shopping and if you decide to stay there is also top class... Read more

Caffe Course Events - Cardiff

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
caffe Deep Learning for Vision with Caffe Cardiff 21 hours Wed, 2018-05-09 09:30 £3900 / £4800
caffe Deep Learning for Vision with Caffe Cardiff 21 hours Mon, 2018-07-02 09:30 £3900 / £4800
caffe Deep Learning for Vision with Caffe Cardiff 21 hours Wed, 2018-09-12 09:30 £3900 / £4800
caffe Deep Learning for Vision with Caffe Cardiff 21 hours Tue, 2018-11-06 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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