Mastering Deep Learning Optimizers

The purpose of optimization algorithms in deep learning is to adjust the parameters of a model to minimize a loss function.

The loss function measures how well the model can make predictions on a given dataset.

The choice of optimizer can significantly impact the performance of a deep learning model.

<p>The update values of the parameter w in each iteration of gradient descent are determined by the optimization algorithm.</p> Signup and view all the answers

<p>There are 4 batches in minibatch gradient descent if there are 1000 samples and the batch size is 250.</p> Signup and view all the answers