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


Latest   Machine Learning


Last Updated on July 25, 2023 by Editorial Team

Author(s): Gencay I.

Originally published on Towards AI.

How to find perfect Hyperparameters in Machine Learning? Use Grid search and Random Search, here are the examples, also in Deep Learning in Python

This member-only story is on us. Upgrade to access all of Medium.

Designed in Canva

Since there are many performance-boosting techniques that exist in Machine Learning, recently I intend to explain one of them to you, which is Grid Search & Random Search.

These techniques are used to find the best parameters in the Machine Learning model.

Grid search and random search are two common techniques used in hyperparameter optimization.

It is the process of selecting the best set of hyperparameters for a machine-learning model.

In grid search, the algorithm searches over a predefined grid of hyperparameter values.

It tries every combination of values in the grid… 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 ↓