HyperParameters in Machine Learning

Paras Patidar
Nov 5 · 2 min read

A hyperparameter is a parameter or a variable we need to set before applying a machine learning algorithm into a dataset.

These parameters express “High Level” properties of the model such as its complexity or how fast it should learn. Hyperparameters are usually fixed before the actual training process begins.

Hyperparameters can be divided into two…

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    Paras Patidar

    Written by

    Machine Learning Enthusiast |Founder@MLAIT | Code-In Mentor@Tensorflow | ExploreML Facilitator | Core Member at DSC-LPU

    MLAIT

    MLAIT

    Machine Learning and Artificial Intelligence Team

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