Smart way to levitate Convolutional Neural Network’s performance: EfficientNet Google AI

Smart way to levitate Convolutional Neural Network’s performance: EfficientNet Google AI

Smart way to levitate Convolutional Neural Network's performance: EfficientNet Google AI Convolutional Neural Networks (CNN) has been a go-to model when.

Convolutional Neural Networks (CNN) has been a go-to model when it comes to image classification, object detection and many other applications. But like _Shuri from Black Panther _suggested, CNNs must be improved to provide better accuracy with respect to its problem under study

“Just because something works, doesn’t mean it can’t be improved.” — Shuri (Black Panther, 2018)

Traditional Method

The traditional way of improving the CNNs performance is by increasing the depth *of the *deep learning model. Depth here means adding additional layers in between or on the top of the already available deep convolutional model. The increase in depth might backfire since it requires more _computational power and resources. _Moreover, after certain depths, the weightstend to saturate without any further improvement in the system.

computer-vision machine-learning deep-learning research ai

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