Keras, other than being a high-level deep learning API also has some other initiatives for machine learning workflow. There is a wide range of machine learning frameworks whose development is based on Keras. In this article, we will discuss Keras Ecosystem. This ecosystem of frameworks tries to ease and optimize the current approach of training and deploying ML models.

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Keras Ecosystem

Some of the frameworks for Keras Ecosystem are:

1. Auto Keras

This framework was built at the DATA lab with an ambition of making machine learning accessible to everyone.

It is a simple interface to perform many machine learning tasks. The supported tasks in auto Keras are image classifier, image regression, text classification, text regression, structured data classification, and structured data regression.

An example of image classification task using auto Keras:

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Keras Ecosystem - Keras Open Source Frameworks
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