Tag Archives: Pooling

Convolutional Neural Networks

WHAT IS CNN A Convolutional Neural Network (CNN) is comprised of one or more convolutional layers, pooling layers and then followed by one or more fully connected layers as in a standard neural network. The architecture of a CNN is designed to take advantage of the 2D structure of an input image (or other 2D input […]

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[UFLDL Exercise] Convolution and Pooling

I’m learning Prof. Andrew Ng’s Unsupervised Feature Learning and Deep Learning tutorial, This is the 8th exercise, which is a simple ConvNet with Pooling process. I’ll not go through the detail of the material. More details about this exercise can be found HERE. I’ll try to implement it using C++ and OpenCV if I have time next week.

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