Auto-Keras Training in Indiana

Auto-Keras Training in Indiana

Online or onsite, instructor-led live Auto-Keras training courses demonstrate through interactive hands-on practice how to use Auto-Keras to automate the process of selecting and optimizing a machine learning model.

Auto-Keras 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 Auto-Keras trainings in Indiana can be carried out locally on customer premises or in NobleProg corporate training centers.

Auto-Keras is also known as Autokeras or Auto Keras.

NobleProg -- Your Local Training Provider

IN, Indianapolis - Lockerbie Marketplace

Lockerbie Marketplace
333 N. Alabama Street Suite 350
Indianapolis, IN 46204
United States
See map: Google Maps
Indiana US
IN, Indianapolis - Lockerbie Marketplace
Learn Auto-Keras in our training center in Indiana.

With its closeness to interstates and a dynamic global transportation infrastructure, as well as downtown amenities, the Lockerbie Marketplace office on N. Alabama Street offers great accessibility. The office occupies the third floor of the smart Sears Building in the heart of Indianapolis’s historic district. Lockerbie Square is where many immigrants settled in the United States. Indianpolis (Indy) is an international city in Marion County that’s home to more than 500...

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Auto-Keras Course Events - Indiana

Auto Keras Course Outlines in Indiana

Course Name
Course Name
14 hours
This instructor-led, live training in Indiana (online or onsite) is aimed at data scientists as well as less technical persons who wish to use Auto-Keras to automate the process of selecting and optimizing a machine learning model.

By the end of this training, participants will be able to:

- Automate the process of training highly efficient machine learning models.
- Automatically search for the best parameters for deep learning models.
- Build highly accurate machine learning models.
- Use the power of machine learning to solve real-world business problems.

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