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CNNs: Structure and Functionality by Nguyễn Hoàng Phương Trần is a document available to read on EtoBox.

What is CNNs: Structure and Functionality about?

The document discusses convolutional neural networks (CNNs) and their advantages over fully connected neural networks. CNNs use local connections and weight sharing to achieve translation invariance. They perform convolution operations using small kernels that are replicated across the input to efficiently extract local features. CNNs also employ pooling layers that reduce sensitivity to distortions by summarizing nearby outputs.

Author

Nguyễn Hoàng Phương Trần

Language

EN