1.4 - Training: Gradient descent + backpropagation
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Practice Questions
Test your understanding with targeted questions
What is gradient descent used for?
💡 Hint: Think about what happens during the training process of a neural network.
Define backpropagation.
💡 Hint: Consider the role of gradients in adjusting weights.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does gradient descent aim to minimize?
💡 Hint: Recall the primary goal during the training process.
True or False: Backpropagation is not necessary for training deep neural networks.
💡 Hint: Consider the function of backpropagation in neural network training.
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Challenge Problems
Push your limits with advanced challenges
Design a scenario where gradient descent might fail to converge and explain why.
💡 Hint: Consider scenarios where the landscape of the loss function leads to multiple paths.
Explain how you would implement backpropagation for a neural network with three hidden layers.
💡 Hint: Think about how layers interact in terms of weights and outputs.
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