Published on December 7, 2021
In Deep Tech

A Beginner’s Guide to Self-Supervised Classification

in the self supervised learning process we are mainly focused about making the data workable to the downstream algorithms. but when using the self-supervised learning we make the data specifically for classification we can say the process is self-supervised classification.

By Yugesh Verma

As of now, the self supervised learning procedure can be considered as making the data meaningful for the models that can perform the required task on the data. We can make the data structure more specific to the task to obtain more accurate results. In this article, we are going to discuss self-supervised classification where for the classification as a specific task, our need is to make the data more appropriate for the classification. The major points to be discussed in the article are listed below. Table of Contents What is Self-Supervised Classification?Mathematics Behind the Self-Supervised ClassificationSelf-Classifier - A Self-Supervised Classification Network What is Self-Supervised classification? If the classifications on the data are performed by the represent

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Yugesh Verma

Yugesh is a graduate in automobile engineering and worked as a data analyst intern. He completed several Data Science projects. He has a strong interest in Deep Learning and writing blogs on data science and machine learning.