Ever wondered on how to get the Best Tensorflow Model?

We know that in order to get the most optimal model, many inter-dependent parameters need to be tuned. But what if hyper tuning was as easy as 1, 2, 3?

Well, The Official hyper-parameter tuning library for Keras has finally dropped in order to help you do the same!

But what is Keras tuner and what are its requirements?

Keras Tuner is a hyperparameter tuner for Keras, specifically for tf.keras with Tensorflow 2.0.

And the Main Requirements for the Keras Tuner are:

• Python 3.6

• TensorFlow 2.0 Beta

Why has Keras Tuner been created?

Keras Tuner is a framework that is mainly designed for:

• AI Practitioners

• Hypertuner algorithm creators

• Model Designers

Even though it is in its early stages, it still provides a simple way to do hyperparameter tuning in Keras.

Given above is just basic information regarding the same. For in-depth details, refer to the links below:

Source and information: GitHub

Teaser Slides from Google I/O 2019: Click Here