January 10, 2020

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Ready, set, go: Using TensorFlow to prototype, train, and productionalize your models (sponsored by Google)

Ready, set, go: Using TensorFlow to prototype, train, and productionalize your models (sponsored by Google)

Building machine learning models is a multistage process. TensorFlow's high-level APIs make this process smooth and easy, whether you're starting small or going big. Karmel Allison walks you through a practical example of building, training, and debugging a model and then exporting it for serving using these APIs.

Talk Title Ready, set, go: Using TensorFlow to prototype, train, and productionalize your models (sponsored by Google)
Speakers Karmel Allison (Google)
Conference Artificial Intelligence Conference
Conf Tag Put AI to Work
Location San Francisco, California
Date September 5-7, 2018
URL Talk Page
Slides Talk Slides
Video

Building machine learning models is a multistage process. TensorFlow’s high-level APIs make this process smooth and easy, whether you’re starting small or going big. Karmel Allison walks you through a practical example of building, training, and debugging a model and then exporting it for serving using these APIs. This session is sponsored by Google.

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