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For questions related to the hyper-parameters of AI models and algorithms, which are parameters that are set before the learning process begins. For example, the number of hidden layers in a feed-forward neural network is usually a hyper-parameter.

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How to approach a toy classification problem using a neural network?

The toy problem: 50 unique numbers are randomly selected from number 0 to 99. If number 1 appears in the selection but number 2 doesn't, the selection is labelled as "1". If number 2 appears in the …
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