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In this liveProject, you’ll implement an AutoML pipeline using the AutoKeras functional API. You’ll make use of the built-in blocks in AutoKeras to conduct automated hyperparameter tuning and model selection for creating an image classification model. Your challenges will include customizing both a sequential AutoML pipeline, and customizing graph-structured AutoML Pipeline.
This liveProject is for Python programmers who know the basics of deep learning. To begin this liveProject, you will need to be familiar with the following:
In this liveProject, you’ll learn how to customize the search space to different requirements, and use the built-in blocks in AutoKeras to conduct automated hyperparameter tuning.
geekle is based on a wordle clone.