All Questions
5 questions
1vote
1answer
98views
Tuning SVM C parameter
I would like to ask for help regarding my model. I have a dataset of preprocessed images and I performed a binary classification with SVM on Python. I tuned the value of the c parameter from 0.001 to ...
2votes
0answers
36views
Parameter optimization and selection in dynamic neural networks
I have used a Bayesian optimization to tune machine learning parameters. The optimized parameters are "Hidden layer size" and "...
- 2,499
1vote
0answers
153views
std::bad_alloc with densenet and hyperas
I am filing this issue after being stagnated here for couple of weeks. I am using hyperas to find the hyperparameters for my network, Densenet. My issue here is that my evaluation always fails with ...
- 600
4votes
2answers
243views
Benefits of using Deep Learning-specific hyperparameter optimization tools vs. sklearn?
There are quite a few library for hyperparameter optimization that are specific to Keras or other Deep Learning libraries, like Hyperas or Talos. My question is, what's the main benefit of using ...
- 161
1vote
1answer
2kviews
Is there any alternative to L-BFGS-B algorithm for hyperparameter optimization in Scikit learn?
The Gaussian process regression can be computed in scikit learn using an object of class GaussianProcessRegressor as: ...
- 103
