Deep Learning training process visualization using Information Theory (Mutual Information, KL Divergence).
- fully connected network
- CNN
- Autoencoders
As I'm not so happy with using Angular for this project, I'll push a new repository using web-components, to keep the code cleaner and keep the focus on the models, rather on the code architecture.
This project was generated with Angular CLI version 1.6.7.
Run ng serve for a dev server. Navigate to http://localhost:4200/. The app will automatically reload if you change any of the source files.
Run ng generate component component-name to generate a new component. You can also use ng generate directive|pipe|service|class|guard|interface|enum|module.
Run ng build to build the project. The build artifacts will be stored in the dist/ directory. Use the -prod flag for a production build.
Run ng test to execute the unit tests via Karma.
Run ng e2e to execute the end-to-end tests via Protractor.
To get more help on the Angular CLI use ng help or go check out the Angular CLI README.