Advance Keras Hyperparameter Tuning with aisaratuners Library

Finally, AI assisting AI!

Photo by Roberta Sorge on Unsplash
  1. epoch
  2. batch size
  3. Dropout rate
  4. number of layers
  5. number of units and filters
keras model for binary classification wrapped in a function where the above list of defined hyperparameters will be tuned
Maximum Accuracy and Accuracy Distribution at Each Round
Parallel Coordinates Plot Visualizing the Performance of Multiple Runs Over a Set Number of Hyperparameters
Hyperparameters Solution Space Boundaries at Each Round
The 3D Hyperparameters Solution Space

We are innovation driven AI company and with our proprietary algorithm for pattern recognition, we provide state of art AI solutions to our clients.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store