Master LLMs with our FREE course in collaboration with Activeloop & Intel Disruptor Initiative. Join now!

Publication

Using a Keras Tuner for Hyperparameter Tuning of a TensorFlow Model
Latest   Machine Learning

Using a Keras Tuner for Hyperparameter Tuning of a TensorFlow Model

Last Updated on July 24, 2023 by Editorial Team

Author(s): Rashida Nasrin Sucky

Originally published on Towards AI.

Use of Hyperband Tuner with Complete Code


Photo by Will Francis on Unsplash

TensorFlow can be highly efficient, but the process of finding the right parameters can be very tiring and tedious. On the other hand, it won’t be as great without the right parameters. All of my previous tutorials on Tensorflow showed very good results. But I only presented my last version, where I found the best results. It took me a lot of trials to find the optimum parameters for good results.

Keras library has a nice tool called Keras Tuner that can be very helpful in finding the right hyperparameters. In this article, we will work… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI

Feedback ↓