Week 1 logistic regression

is weight (W) a hyperparameter?

No, the weights w are “parameters”, meaning that you learn them through back propagation. That is the distinction between “parameters”, which can be learned, and “hyperparameters” which simply have to be chosen. Examples of hyperparameters are the learning rate and number of iterations for gradient descent.

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Thank you. It’s clear now