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4 cards from this section. Quick, good the night before a test.
What is the purpose of backpropagation?
Think about how a neural network learns.
Name one common optimization algorithm.
It’s one of the most widely used techniques in training.
What is backpropagation used for?
Focus on how learning occurs in neural networks.
True or False: Adam optimizer adjusts the learning rate for each parameter.
Consider what differentiates Adam from traditional methods.
Given a scenario where your model is overfitting, which regularization techniques would you implement, and how would they help?
Consider the balance between complexity and generalization.
Design an experiment where you compare the performance of SGD and Adam optimizer on a deep learning task. Outline the method and expected outcomes.
Think about how different optimizers handle the gradient information.
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