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. Iowa onsite live Apache MXNet trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
IA, Des Moines - Hub Tower
699 Walnut Street, Des Moines, united states, 50309
The venue is located in the Hub Tower, right next door to Burger King and in the vicinity of the Kaleidoscope at the Hub Mall...
The venue is located in the Hub Tower, right next door to Burger King and in the vicinity of the Kaleidoscope at the Hub Mall.
IA, Johnston - Des Moines - Foxboro Square
6165 Northwest 86th Street, Des Moines, united states, 50131
The venue is located in the neighboorhood of the Community Choice Credit Union and Iowa Orthodontic Solutions, just in front ...
The venue is located in the neighboorhood of the Community Choice Credit Union and Iowa Orthodontic Solutions, just in front of the Green Meadows West Gazebo.
NE, Omaha – Linden Place
14301 First National Bank Parkway, Suite 100, Omaha, united states, 68154
The venue is located next to the First National Bank Park & Ride bus stop in the same building as Midwest Retirement Advisors...
The venue is located next to the First National Bank Park & Ride bus stop in the same building as Midwest Retirement Advisors and Principal Financial Group.
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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