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Horizontal Max Pooling for DNN Noise Reduction by yash1.more2 is a document available to read on EtoBox.

What is Horizontal Max Pooling for DNN Noise Reduction about?

The document proposes a new pooling approach called "Horizontal Max Pooling" to reduce noise in max pooling for better feature detection in deep neural networks. It discusses how max pooling can highlight unwanted noise in features. The paper introduces horizontal max pooling as a way to reduce this noise for improved feature extraction. It has tested this approach on multiple images and matrices with results showing noise reduction and noticeable changes.

Author

yash1.more2

Language

EN