What is cnn architecture and its working principle?
Answers
Answered by
0
A Convolutional Neural Network(CNN, or ConvNet) are a special kind of multi-layer neural networks, designed to recognize visualpatterns directly from pixel images with minimal preprocessing.. The ImageNet project is a large visualdatabase designed for use in visualobject recognition software research.
It is common to periodically insert a pooling layer between successive convolutionallayers in a CNN architecture. The pooling operation provides another form of translation invariance. The pooling layer operates independently on every depth slice of the input and resizes it spatially.
It is common to periodically insert a pooling layer between successive convolutionallayers in a CNN architecture. The pooling operation provides another form of translation invariance. The pooling layer operates independently on every depth slice of the input and resizes it spatially.
Similar questions