Light on Math Machine Learning: Intuitive Guide to Convolution Neural Networks

#artificialintelligence 

This is the second article on my series introducing machine learning concepts with while stepping very lightly on mathematics. If you missed previous article you can find in here (on KL divergence). Fun fact, I'm going to make this an interesting adventure by introducing some machine learning concept for every letter in the alphabet (This would be for the letter C). Convolution neural networks (CNNs) are a family of deep networks that can exploit the spatial structure of data (e.g. Think of a problem where we want to identify if there is a person in a given image. For example, if I give the the CNN an image of a person, this deep neural network first needs to learn some local features (e.g.

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