Practice - Backpropagation and Activation Functions
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Practice Questions
Test your understanding with targeted questions
What is the purpose of backpropagation in neural networks?
💡 Hint: Think about how the network learns.
Name one common activation function.
💡 Hint: Recall the functions we discussed.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main purpose of backpropagation?
💡 Hint: Remember its role in training.
True or False: The Sigmoid function can cause the vanishing gradient problem.
💡 Hint: Consider the effects of squashing outputs.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Given the Sigmoid function outputs a value of 0.7 for a certain input. If the true output is 0, calculate the Mean Squared Error (MSE) loss.
💡 Hint: Remember the MSE formula involves squaring the difference.
If using gradient descent, explain how learning rate affects the weight update process during backpropagation. What happens if it's too high or too low?
💡 Hint: Think about speed versus accuracy in updates.
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