π±Introduction
β¨ Improving Neural Networks used in Computer Vision problems
This folder contains theoric details about CNNs
π Important Terms
Term
Description
π« Convolutoin
Applying some filter on an image so certain features in the image get emphasized
π Pooling
A way of compressing an image
π· 2*2 max pooling
For every 4 neighbor pixels the biggest one will survive
β Padding
Adding additional border(s) to the image before convolution
π« Notes on performance
Training speed of a CNN is too slower than plain NN because of its computational complexity π’
π§ References
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