Last week, we learned that deep learning algorithms are always made up of the same elemental bricks: input, hidden, and output layers, as well as computing units that we call neurons. When these layers are assembled together, just like LEGO® bricks, they can be used to answer a specific question. Just before the algorithm can start answering questions, however, …
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