All Questions
7 questions
8
votes
1
answer
187
views
Optimize a network topology?
I'd like to know if one can use optimization function like Maximize[] or BayesianMaximize[] to optimize the hyper-parameters of ...
- 3,820
5
votes
0
answers
158
views
How to train each layer in a Neural Network so they optimize different loss functions in an adversarial network?
Example NetGraph to illustrate the idea (Input is an online signal with a value between -1 and 1, Noise is Gaussian Centered at 0 and standard deviation 0.1, EvilNet is constrained to output a value ...
- 526
5
votes
0
answers
157
views
What's BayesianMinimization and related functions based on?
Is it specified anywhere what the backend is for the Bayesian optimization related functionality in Mathematica v11? I'm specifically referring to the Bayesian* ...
- 1,002
2
votes
0
answers
107
views
Specifying feature types for BayesianMinimization
I'd like to use Bayesian optimization over a pair of features, one nominal, one numerical. If I do something like this:
...
- 1,002
2
votes
0
answers
1k
views
Stochastic Gradient Descent with constraints
Let's say we have a convex objective function $f(\textbf{x})$, with $\textbf{x}\in R^n$ which we want to minimise under a set of constraints. The problem is that calculating $f$ exactly is not ...
- 841
1
vote
0
answers
29
views
Is this a reasonable way to transform simple MSE loss function to weighted MSE for neural networks?
The idea is tested on a dataset with a clear outlier (see picture below)
...
- 516
0
votes
0
answers
33
views
What is the network structure of Ademxapp Model A1 Trained on Cityscapes Data in the Mathematica?
I want to implement the model (Ademxapp Model A1 Trained on Cityscapes Data) on my data for segmentation, so I need the partial structure of this model, can anyone help?
- 195