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so what is deep learning and cnn according to the 2014 rss keynote speech by andrew ng deep learning is more or less a brand name for all works related .

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you can see how the filter maps a set of points from the input matrix to a single node in the next layer here is a more low level diagram of a convolution .

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as to my knowledge no one has yet come up with a solid mathematical proof that it works at all anyway imagine a large neural net with many hidden layers .

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one of today s most successful machine learning techniques is called deep learning the broad interest in deep learning is backed by some remarkable results .

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secondly because the vgg19 model is built for small images and the style extraction doesn t work as well on very large pictures .

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these notes are taken from the first two weeks of convolutional neural networks course part of deep learning specialization by andrew ng on coursera .

c layers are convolutions s layers are pool sample .

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nonetheless intuitively we d expect networks with many more hidden layers to be more powerful .

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today the following paper seems to show that certain parts of the brain have functionals equivalent to those found in deep convolutional neural networks .

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deep convolutional neural networks dcnns trained on a large number of images with strong pixel level annotations have recently significantly pushed the .

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here vpn comes into the picture it s creates virtual tunnels between the two hosts by using various types of encryption protocol such as ssl ipsec .

gradient descent with small top and large bottom learning rates source andrew ng s machine learning course on coursera .

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