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15
Math.TechQA.Club
2026-03-25 19:10:13
540
Views
How to derive the gradient of RNN and what is the definition of Loss function in this graph?
Published on
25 Mar 2026 - 19:10
#optimization
#gradient-descent
#neural-networks
242
Views
Is a path which decreases a function in the quickest way a gradient flow?
Published on
26 Mar 2026 - 0:59
#multivariable-calculus
#differential-geometry
#optimization
#gradient-descent
#gradient-flows
62
Views
What is trivial step size vs non-trivial step size?
Published on
04 Nov 2019 - 4:04
#gradient-descent
198
Views
Proof of Rate of convergence for Preconditioned Conjugate Gradient
Published on
07 Nov 2019 - 10:24
#linear-algebra
#matrices
#optimization
#gradient-descent
345
Views
what is the intuition behind the augmented lagrangian?
Published on
26 Mar 2026 - 4:16
#nonlinear-optimization
#lagrange-multiplier
#duality-theorems
#gradient-descent
725
Views
Gradient Descent with constraints?
Published on
26 Mar 2026 - 22:12
#optimization
#numerical-optimization
#gradient-descent
#newton-raphson
#quadratic-programming
194
Views
Back propagation for cross entropy loss function with softmax
Published on
25 Mar 2026 - 19:01
#gradient-descent
#neural-networks
77
Views
Which Constraints Should I Compare with First in Quadratic Optimization Problem?
Published on
26 Mar 2026 - 22:17
#optimization
#numerical-optimization
#gradient-descent
#newton-raphson
#quadratic-programming
64
Views
Optimization: Gradient of constraints - How to solve in a quadratic formula?
Published on
26 Mar 2026 - 22:14
#optimization
#gradient-descent
#quadratic-programming
9.6k
Views
Does gradient descent converge to a minimum-norm solution in least-squares problems?
Published on
26 Mar 2026 - 22:17
#convex-optimization
#solution-verification
#least-squares
#gradient-descent
#quadratic-programming
2.3k
Views
Newton's Method vs Gradient Descent?
Published on
25 Mar 2026 - 23:35
#taylor-expansion
#numerical-optimization
#gradient-descent
#newton-raphson
#logistic-regression
1.5k
Views
Lipschitz continuous gradient. Finding the best/smallest $\beta$ for a function $f$ to be $\beta$-smooth
Published on
26 Mar 2026 - 19:05
#convex-optimization
#lipschitz-functions
#gradient-descent
22
Views
Neural network training: skipping layers when performing weight updates
Published on
25 Mar 2026 - 19:01
#gradient-descent
#neural-networks
354
Views
Why is the inverse of the gradient not taken in gradient descent?
Published on
08 Dec 2019 - 22:12
#derivatives
#optimization
#gradient-descent
50
Views
How to differentiate $l_1$ norm of a transformation?
Published on
09 Dec 2019 - 21:04
#vector-analysis
#matrix-calculus
#gradient-descent
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