Online or onsite, instructor-led 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 as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. New Jersey onsite live Caffe trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
NJ, Totowa - Riverview Drive
999 Riverview Drive, Totowa, united states, 07512
Totowa, NJ - The venue is located on the corner of Riverview Dr and Commerce Way.
NJ, Princeton - Overlook Business Center
100 Overlook Center, Princeton, united states, 08540
The venue is located just off Highway 1, in the vicinity of the American Red Cross of Central New Jersey and Wells Fargo Bank...
The venue is located just off Highway 1, in the vicinity of the American Red Cross of Central New Jersey and Wells Fargo Bank.
NJ, Newark - One Gateway Business Center
One Gateway Center Suite 2600, Newark, united states, 07102
Located in New Jersey, it is next to the Seton Hall University Law School and the Prudential Center, and a block from the pre...
Located in New Jersey, it is next to the Seton Hall University Law School and the Prudential Center, and a block from the prestigious New Jersey Performing Arts Center. The building is connected by covered walkway to Newark Penn making New York a short commute by PATH and giving good access to Boston and Washington DC.
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
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