👉 "Gossaniferous" is a term in computer science that refers to a type of machine learning algorithm where the network parameters are randomly initialized, leading to an overfitting problem. This can occur when the initial values of the network's weights and biases are chosen in such a way that they do not adequately capture the underlying structure of the data. The term "gossaniferous" is often used in machine learning contexts to describe models where the network parameters are set randomly, leading to
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