Keras Tuner With Tensorflow | Ashwin Phadke

Dive into an overview of hyperparameter tuning to find the best hyperparameters for your deep learning model. The Keras-tuner package can be used to define a search space for multiple hyperparameters like learning rate, optimizers, units among many others to facilitate optimal hyperparameter search to obtain the best model for your desired dataset.

Summary of the talk :

• Brief about convolutions, pooling.
• Introduction to Keras Tuner.
• Tunable hyperparameters.
• Overview of built-in algorithms for hyperparameter tuning
• Code : Google colab demo