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Home>IT Tests>Questions>Gradient descent is an optimization algorithm used to train neural networks. Its objective is to modify the model parameters until finding one of the cost function’s local minimum (<=> very efficient weights and bias values).

Question from the Deep learning - Fundamentals test

Gradient descent is an optimization algorithm used to train neural networks. Its objective is to modify the model parameters until finding one of the cost function’s local minimum (<=> very efficient weights and bias values).

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Complete the sentence : Gradient descent is an optimization algorithm used to train neural networks. Its objective is to modify the model parameters until finding…

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