Online or onsite, instructor-led live Apache MXNet training courses demonstrate through interactive hands-on practice how to use Apache MXNet to build and deploy a deep learning model for image recognition.
Apache MXNet 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. Onsite live Apache MXNet trainings in Auckland can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Auckland, ANZ Centre
Level 33, ANZ Centre, 23-29 Albert Street, , Auckland, new zealand, 1010
The Regus Business Centre is located on the 33rd floor of the ANZ building which is one of Auckland's most recognisable landm...
The Regus Business Centre is located on the 33rd floor of the ANZ building which is one of Auckland's most recognisable landmarks. The centre offers premium A Grade work space and has recently undergone an extensive refurbishment, making the building one of Auckland’s most sought after CBD addresses. The centre is a short walk to the Viaduct, Queen Street or Wynyard Quarter and has easy access to motorways and is well serviced by public transport. The centre provides an impressive street perspective and expansive views across the Waitemata. ANZ centre is home to some of the most recognised businesses in New Zealand, including major financial institutions, lawyers and insurance companies. The centre offers first-class on-site facilities and amenities including restaurants, retail facilities and banks. The ANZ centre offers a perfect solution for local and overseas companies looking for flexible and fully-equipped offices with comprehensive services at a reasonable price.
This instructor-led, live training in (online or onsite) is aimed at data scientists who wish to use Apache MXNet's to build and deploy a deep learning model for image recognition.
By the end of this training, participants will be able to:
Install and configure Apache MXNet and its components.
Understand MXNet's architecture and data structures.
Use Apache MXNet's low-level and high-level APIs to efficiently build neural networks.
Build a convolutional neural network for image classification.
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