Artificial neural networks are computational models which work similar to the functioning of a human nervous system. There are several kinds of artificial neural networks.Source: HOB
Deep learning emerged from that decade's explosive computational growth as a serious contender in the field, winning many important machine learning competitions. The interest has not cooled as of 2017; today, we see deep learning mentioned in every corner of machine learning.Source: Kdnugget
Today's paper offers a new architecture for Convolution Networks. It was written by He, Zhang, Ren, and Sun from Microsoft Research.Source: HOB
We have seen how accurately Facebook recognizes faces of our friends when tagged two or three times and suggest their name to tag in a post where they are in picture with us. With the help of machine learning face recognition can be done much like as human do.Source: HOB
Convolutional Neural networks make it possible for machines to visualize world like humans and thus becomes an important concept to learn while working in Computer vision.Source: HOB
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