Difference between revisions of "Step 3"
From Research management course
Line 15: | Line 15: | ||
# Also, [https://forms.gle/v6fEGLRWkXJ6UZXi9 Step 2 homework] reminder | # Also, [https://forms.gle/v6fEGLRWkXJ6UZXi9 Step 2 homework] reminder | ||
# Refresh in your memory the gradient-based optimization, see either: | # Refresh in your memory the gradient-based optimization, see either: | ||
− | ## [https://en.wikipedia.org/wiki/Gradient_descent Gradient descent [https://en.wikipedia.org/wiki/Conjugate_gradient_method Conjugate gradient], | + | ## [https://en.wikipedia.org/wiki/Gradient_descent Gradient descent], [https://en.wikipedia.org/wiki/Conjugate_gradient_method Conjugate gradient descent], [https://en.wikipedia.org/wiki/Gradient Gradient], [https://en.wikipedia.org/wiki/Directional_derivative Directional derivative], [https://en.wikipedia.org/wiki/Jacobian_matrix_and_determinant Jacobian matrix], [https://en.wikipedia.org/wiki/Hessian_matrix Hessian matrix], [https://en.wikipedia.org/wiki/Vector_field#Gradient_field_in_Euclidean_spaces Gradient field], or |
− | [https://en.wikipedia.org/wiki/Gradient Gradient], | ||
− | [https://en.wikipedia.org/wiki/Directional_derivative Directional derivative], | ||
− | [https://en.wikipedia.org/wiki/Jacobian_matrix_and_determinant Jacobian matrix], | ||
− | [https://en.wikipedia.org/wiki/Hessian_matrix Hessian matrix], | ||
− | [https://en.wikipedia.org/wiki/Vector_field#Gradient_field_in_Euclidean_spaces Gradient field], or | ||
## the book | ## the book | ||
Revision as of 13:36, 29 September 2024
We are moving towards the coursework. How do you put your project description in one pitch? We reformulate the deliveries from Step 1 and Step 2 in an informal problem statement.
The seminar
- The warm-up 5-minute test
- Tensor product and tensor decomposition
- The first slide
- Homework discussion
Resources
Step 3 YouTube video (expected with online version)
Homework
- For your selected project write the motivational part using this template for Step 3.
- Download the link to your homework here.
- Also, Step 2 homework reminder
- Refresh in your memory the gradient-based optimization, see either:
Transcript of the video
Appears after the seminar.