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Michael Hesse


Last seen: 1 year ago |  Active since 2020

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How to optimize when the objective can be negatively influenced
Hello John, thank you for your response. I guess I have to reformulate my problem. x* = arg max_x min_c f(x, c), where x and c ...

2 years ago | 0

Question


How to optimize when the objective can be negatively influenced
Hello, I want to solve an optimization problem: x* = arg max_x f(x; c) for any c (where x and c are real numbers) f is some ki...

2 years ago | 2 answers | 0

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Initial State Dynamical System LSTM Network
%% - cleanup clear; close all; clc; %% - data t = linspace(0, 5, 1000); odefcn = @(t, x) [x(2, :); 10*sin(x(1, :))-x(2, ...

4 years ago | 0 answers | 0

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Answered
MATLAB Dropout layer during prediciton
classdef Dropout < nnet.internal.cnn.layer.FunctionalLayer ... & nnet.internal.cnn.layer.CPUFusableLayer % Dropout I...

4 years ago | 1

Answered
MATLAB Dropout layer during prediciton
Any updates for this topic? I'm also interested in using dropout at prediction time to make an estimate for the uncertainty of t...

4 years ago | 2