TLDR
In this tutorial, I'll show you how to create a single label classification model in Google AutoML. We'll be using a dataset of AI-generated faces from generated photos. After that, we'll deploy our model to the cloud AND create the web browser version of the algorithm. In this section we'll create a Cloud Model that runs on GCP with an easy-to-use API as well as an Edge Model that can be exported to Tensorflow and run on mobile devices, browsers, locally or hosted on premise.via the TL;DR App
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Written by seveibar | I build startup technology http://wao.ai & http://collegeai.com
