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Questions and Answers
Which topics are covered in this lecture?
Which topics are covered in this lecture?
- Directional derivatives and gradient (correct)
- Partial derivatives
- Derivatives of bilinear functions
- Derivatives of linear mappings
What are the most common mappings in deep learning?
What are the most common mappings in deep learning?
- Vector-valued functions
- Linear and bilinear mappings (correct)
- Jacobi-matrix
- Chain rule
What is the relationship between directional derivatives and partial derivatives?
What is the relationship between directional derivatives and partial derivatives?
- Directional derivatives are equivalent to partial derivatives (correct)
- Directional derivatives are the opposite of partial derivatives
- Directional derivatives are more complex than partial derivatives
- Directional derivatives are unrelated to partial derivatives
What is the chain rule used for in deep learning?
What is the chain rule used for in deep learning?
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What are the most difficult aspects of differentiation?
What are the most difficult aspects of differentiation?
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