Question

Directional derivative confusion - why does independently evaluating partial changes, then adding them, work?

score 429 · Answer 1 · 2019-02-12 01:49:09

429

Views

Directional derivative confusion - why does independently evaluating partial changes, then adding them, work?

Published on 12 Feb 2019 - 1:49

score 78 · Answer 2 · 2019-02-14 09:16:09

78

Views

Coordinate-wise gradient descent converges to least-squares solution

Published on 14 Feb 2019 - 9:16

score 73 · Answer 3 · 2019-02-16 20:51:02

73

Views

For any starting point $x^{(0)}$ the basic conjugate algorithm converges to the unique $x^{*}$ in $n$ steps

Published on 16 Feb 2019 - 20:51

score 74 · Answer 4 · 2026-03-25 04:43:53

74

Views

Why each component of gradient which is slope of the curve in itself while keeping other variables constant gives us slope of curve?

Published on 25 Mar 2026 - 4:43

score 49 · Answer 5 · 2019-02-17 17:45:23

49

Views

Matrix calculus - incorrect calculation?

Published on 17 Feb 2019 - 17:45

score 409 · Answer 6 · 2026-03-23 03:44:30

409

Views

Velocity gradient in polar coordinate

Published on 23 Mar 2026 - 3:44

score 384 · Answer 7 · 2026-03-25 19:10:32

384

Views

Mazur's lemma without Hahn-Banach theorem/axiom of choice?

Published on 25 Mar 2026 - 19:10

score 388 · Answer 8 · 2026-03-25 07:43:30

388

Views

Derivation of partial derivative of cost function with respect to weights in backpropagation algorithm

Published on 25 Mar 2026 - 7:43

score 551 · Answer 9 · 2026-03-25 21:00:08

551

Views

Projected gradient descent with matrices

Published on 25 Mar 2026 - 21:00

score 73 · Answer 10 · 2019-03-02 10:13:42

73

Views

How do you calculate gradient descent when you have a point which gives two different values?

Published on 02 Mar 2019 - 10:13

score 66 · Answer 11 · 2019-03-08 06:24:15

66

Views

Are the initial values of the slope, intercept and the learning rate in gradient descent experimental?

Published on 08 Mar 2019 - 6:24

score 297 · Answer 12 · 2019-03-09 16:22:49

297

Views

Getting to the gradient descent algorithm

Published on 09 Mar 2019 - 16:22

score 116 · Answer 13 · 2019-03-13 01:17:15

116

Views

Using Coordinate Descent on Projected Space

Published on 13 Mar 2019 - 1:17

score 2.2k · Answer 14 · 2019-03-16 16:25:21

2.2k

Views

Optimal step size for gradient descent on quadratic function

Published on 16 Mar 2019 - 16:25

score 56 · Answer 15 · 2019-03-17 12:44:12

56

Views

Confused about Nesterov momentum gradient descent algorithm

Published on 17 Mar 2019 - 12:44

List Question

Directional derivative confusion - why does independently evaluating partial changes, then adding them, work?

Coordinate-wise gradient descent converges to least-squares solution

For any starting point $x^{(0)}$ the basic conjugate algorithm converges to the unique $x^{*}$ in $n$ steps

Why each component of gradient which is slope of the curve in itself while keeping other variables constant gives us slope of curve?

Matrix calculus - incorrect calculation?

Velocity gradient in polar coordinate

Mazur's lemma without Hahn-Banach theorem/axiom of choice?

Derivation of partial derivative of cost function with respect to weights in backpropagation algorithm

Projected gradient descent with matrices

How do you calculate gradient descent when you have a point which gives two different values?

Are the initial values of the slope, intercept and the learning rate in gradient descent experimental?

Getting to the gradient descent algorithm

Using Coordinate Descent on Projected Space

Optimal step size for gradient descent on quadratic function

Confused about Nesterov momentum gradient descent algorithm

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