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Google has announced the TensorFlow Lite Model Maker.

TensorFlow Lite is an open-source deep learning framework for on-device inference.

The new tool is designed to adapt machine learning models to datasets with transfer learning.

The Model Maker supports models available on the TensorFlow hub such as the EfficientNet-Lite models. In addition, it supports image classification and text classification. The team plans to provide more support for computer vision and natural language processing use cases.

“It wraps the complex machine learning concepts with an intuitive API, so that everyone can get started without any machine learning expertise. You can train a state-of-the-art image classification with only 4 lines of code,” Khanh LeViet, developer advocate at Google, wrote in a blog post.

 

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