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Google’s EfficientNets are better at analyzing images than existing AI models

Google AI

Google’s EfficientNets are better at analyzing images than existing AI models

VentureBeat - Kyle Wiggers

Convolutional neural networks (CNNs) — layers of functions (neurons) inspired by biological processes in the human visual cortex — are well-suited to tasks like object recognition and facial detection, but improving their accuracy beyond a certain point requires tedious fine-tuning. That’s why …

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