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Questions and Answers
What is the purpose of optimization algorithms in deep learning?
What is the purpose of optimization algorithms in deep learning?
The purpose of optimization algorithms in deep learning is to adjust the parameters of a model to minimize a loss function.
What is the role of the loss function in deep learning?
What is the role of the loss function in deep learning?
The loss function measures how well the model can make predictions on a given dataset.
How does the choice of optimizer impact the performance of a deep learning model?
How does the choice of optimizer impact the performance of a deep learning model?
The choice of optimizer can significantly impact the performance of a deep learning model.
What are the update values of the parameter w in each iteration of gradient descent?
What are the update values of the parameter w in each iteration of gradient descent?
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How many batches are there in minibatch gradient descent if there are 1000 samples and the batch size is 250?
How many batches are there in minibatch gradient descent if there are 1000 samples and the batch size is 250?
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