Hands-on

Model evaluation by cross validation
- Definition and evaluation of a Support Vector Machine (SVM) model
  - Understanding SVMs with Polynomial Kernels
  - Hands-on
Neural networks integration
- Basic model training
- Model evaluation via cross-validation
Hyperparameter optimization by nested cross-validation
Initial model evaluation
Hyperparameter optimization
Vanilla Variational Autoencoder (vVAE)
Example 6. Testing different CNN architectures
Advanced use
- Definition of your own transformations (gojo.interfaces.Transform)

API Documentation

gojo - Documentation

All modules for which code is available

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