Biased And Crossmap Dropout Strategies For Convolutional Neural Networks
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Alvin Poernomo is from Dongseo University.

                       

Biased And Crossmap Dropout Strategies For Convolutional Neural Networks

Over the last decade, deep learning models, particularly Convolutional Neural Networks (CNN), have shown outstanding results in various fields, including computer vision area. Endorsed by the huge advancement of GPU-based parallel computing, CNN marks its superiority over conventional computer vision approaches by being able to learn features from its input automatically layer by layer, forming hierarchical layers of features. This being said, overfitting becomes a crucial problem as CNN involves a large number of parameters in its structure and becomes...

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