8.3.2 - Gradient Descent Variants
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Practice Questions
Test your understanding with targeted questions
Define Batch Gradient Descent.
💡 Hint: Consider how many examples are used at once.
What is the main advantage of Stochastic Gradient Descent?
💡 Hint: Think about the speed of weight updates.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary characteristic of Batch Gradient Descent?
💡 Hint: Think about how many examples are used to compute the gradient.
True or False: Stochastic Gradient Descent is more stable than Batch Gradient Descent.
💡 Hint: Consider the nature of updates from individual samples.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Analyze a dataset subjected to Batch Gradient Descent, Stochastic Gradient Descent, and Mini-batch Gradient Descent. Could you identify the trade-offs in convergence time, stability, and computational efficiency?
💡 Hint: Consider how each method processes training examples.
In an experiment, Neural Network A utilized Adam Optimizer while Neural Network B used Adagrad. Discuss the expected performance on sparse data versus dense data.
💡 Hint: Evaluate the characteristics of training data while considering optimizer capabilities.
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