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15
Math.TechQA.Club
2017-07-04 09:46:06
49
Views
Optimization technique for a function in terms of one variable
Published on
04 Jul 2017 - 9:46
#optimization
#vector-analysis
#gradient-descent
59
Views
Calculation of gradient of an optimization problem.
Published on
07 Jul 2017 - 12:34
#partial-derivative
#machine-learning
#matrix-decomposition
#gradient-descent
47
Views
What does It Mean to Find Norm under a Hessian?
Published on
14 Jul 2017 - 16:56
#gradient-descent
80
Views
How to choose how to shift the inputs, when using steepest descent?
Published on
27 Mar 2026 - 14:39
#optimization
#neural-networks
#gradient-descent
55
Views
how to properly solve these two coupled convex optimizations?
Published on
19 Jul 2017 - 17:45
#optimization
#numerical-methods
#convex-optimization
#gradient-descent
177
Views
Derivative of slope of neural network layer activations
Published on
27 Mar 2026 - 16:47
#calculus
#linear-algebra
#vector-analysis
#neural-networks
#gradient-descent
91
Views
why Clipped gradient can get stuck in a flat spot
Published on
21 Jul 2017 - 15:29
#gradient-descent
130
Views
Evolving Neural Network using both genetic algorithm and back propagation
Published on
26 Mar 2026 - 3:10
#optimization
#neural-networks
#gradient-descent
#artificial-intelligence
333
Views
Gradient vs Gradient Ascent?
Published on
26 Jul 2017 - 7:54
#vector-analysis
#regression
#machine-learning
#gradient-descent
214
Views
Gradient and stochastic gradient descent for loss function and regularizer
Published on
28 Mar 2026 - 22:06
#optimization
#machine-learning
#error-function
#gradient-descent
126
Views
How to construct target objective function for gradient descent?
Published on
28 Mar 2026 - 22:06
#optimization
#machine-learning
#error-function
#gradient-descent
1k
Views
Understanding Subgradient?
Published on
30 Jul 2017 - 22:15
#gradient-descent
365
Views
Lipschitz Smoothness and Nesterov's Accelerated Gradient Descend
Published on
01 Aug 2017 - 9:31
#lipschitz-functions
#gradient-descent
309
Views
How to prove $\frac{\partial}{\partial{W}} \operatorname{trace}((Y-XW)(Y-XW)^T)=2X^T(XW-Y)$?
Published on
08 Aug 2017 - 16:33
#matrices
#derivatives
#matrix-calculus
#trace
#gradient-descent
5.7k
Views
Why would gradient descent ever diverge?
Published on
16 Aug 2017 - 11:43
#optimization
#convex-optimization
#numerical-optimization
#gradient-descent
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