Decide whether the following sentences are True or False.
If False, explain why.
8. Since the Batch
Gradient Decent method updates all data at once, there is less risk of falling
into the local optimum compared to the stochastic gradient descent method.
9. Because the Batch
Gradient Decent method uses the full batch, it is better to use a fixed
learning rate rather than an adaptive learning rate.
10. SGD is
mathematically equivalent to BGD, but we use SGD because it converges faster.
11. If the dataset has
large variances, SGD has the disadvantage of being inaccurate.
12. Since the mini-batch
gradient descent method updates the weights through the average gradient of the
mini-batch, the number of updates is less than the BGD method using the entire
13. When learning starts, a small learning
rate is recommended to avoid excessive updates.
14. Momentum is the
exponential average of the past gradients.
15. When using Nesterov
Accelerated Gradient (NAG), there is a disadvantage that weights can be
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