What are the different types of gradient descent?
There are several types of gradient descent, including Batch Gradient Descent, Stochastic Gradient Descent, and Mini-batch Gradient Descent. Would you like to know more about each type?
Yes, can you explain Batch Gradient Descent?
Batch Gradient Descent computes the gradient using the entire dataset. It's stable but can be slow for large datasets.
What about Stochastic Gradient Descent?
Stochastic Gradient Descent updates the model for each training example, making it faster but more noisy in convergence.
And Mini-batch Gradient Descent?
Mini-batch Gradient Descent is a compromise, using a small batch of data to update the model, balancing speed and stability.
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