
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Implementation Stochastic Gradient Descent
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Information Technology (IT), Architecture
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University
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Hard
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4 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What are the key components needed to define a training function for a neural network?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
How can the average loss be calculated after each epoch?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
Why is it important to shuffle the data before each epoch?
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the difference between stochastic gradient descent and batch gradient descent?
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