Higher accuracy on vision models with EfficientNet-Lite

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Higher accuracy on vision models with EfficientNet-Lite

Higher accuracy on vision models with EfficientNet-Lite

In May 2019, Google released a family of image classification models called EfficientNet, which achieved state-of-the-art accuracy with an order of magnitude of fewer computations and parameters. If EfficientNet can run on edge, it opens the door for novel applications on mobile and IoT where computational resources are constrained.

Source: blog.tensorflow.org/2020/03/higher-accuracy-on-vision-models-with-efficientnet-lite.html

July 1, 2020
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