Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks.
function by adjusting the model parameters. The primary application of gradient descent is in training machine learning models. During training, the model’s parameters are adjusted iteratively to minimize the difference between the predicted outputs and the actual targets. Gradient descent does