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Convolutional Neural Networks are a bit different than the standard neural networks. First of all, the layers are organized in 3 dimensions: width, height, and depth. Further, the neurons in one layer do not connect to all the neurons in the next layer but only to a small region of it. Lastly, the final output will be reduced to a single vector ...

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