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 California can be carried out locally on customer premises or in NobleProg corporate training centers.
Auto-Keras is also known as Autokeras or Auto Keras.
Learn Auto-Keras in our training center in California. Located in the heart of Downtown Los Angeles, in a short drive from the Union Station and few minutes away from U.S 101 & U.S.110 Highways. Read more
Learn Auto-Keras in our training center in California. The Sunnyvale center is located one block from Caltrain rail station and provides easy access to Central Expressway and Highway 101.
It is in walking distance to the city's downtown district, featuring numerous restaurants, shops, and businesses, as well as a short drive from San Jose International Airport. Read more
Learn Auto-Keras in our training center in California.
With its fabulous arched windows, the 75 Broadway office, located in the heart of Jackson Square, is designed to impress. Situated at Golden Gateway Commons on the second floor of this unique campus-style building, it overlooks the green terrains of Sydney Walton Park with the famous waterfront piers behind. This enviable location is a short walk from public transport and just blocks away from the Embarcadero and the ferry building, as well as a host of convenient amenities....
This instructor-led, live training in California (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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