Practice - Backpropagation Algorithm
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Practice Questions
Test your understanding with targeted questions
What is the first step of the backpropagation algorithm?
💡 Hint: Think about what happens when the data first enters the neural network.
What does a loss function do?
💡 Hint: Consider how we assess our model's predictions.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the purpose of backpropagation?
💡 Hint: Remember the role of backpropagation in the training cycle.
True or False: The loss function is calculated during the backward pass.
💡 Hint: Consider when in the process we discuss outputs and losses.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Consider a neural network with an unexpected spike in loss after several epochs of training. Discuss the possible causes and how backpropagation may be adapted to address this issue.
💡 Hint: Think about how various parameters can affect network behavior.
Explain how backpropagation would need to change if you were to implement it on a network with recurrent connections, as seen in RNNs.
💡 Hint: Consider how feedback from one layer influences future inputs in RNNs.
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