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The input layer has the same variety of neurons as there are actually entries within the vector x. Quite simply, Each individual enter neuron signifies one component while in the vector.As an example, the dataset could consist of visuals of various animals but no description (label). The algorithm will learn how to team animals that belong to a sim

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