Basic Concepts of Algebra in Deep Learning | Zendy

T. Pravallika | Zendy; C. V. Raja Gopal Reddy | Zendy; C. Subbarayudu | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Basic Concepts of Algebra in Deep Learning

Author(s) -

T. Pravallika,

C. V. Raja Gopal Reddy,

C. Subbarayudu

Publication year - 2020

Publication title -

international journal of scientific research in science engineering and technology

Language(s) - English

Resource type - Journals

eISSN - 2395-1990

pISSN - 2394-4099

DOI - 10.32628/ijsrset20739

Subject(s) - computer science , field (mathematics) , deep learning , algebra over a field , artificial intelligence , feeling , mathematics , epistemology , pure mathematics , philosophy

Algebra is extremely important for understanding Machine Learning, especially for Deep Learning. They provide you better feeling for a way algorithms really work under the duvet, which enables you to form better decisions. You would wish to be an expert during this field; you can't escape from mastering of its concept. During this topic we'll give the foremost important concept of algebra that are utilized in Deep Learning.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research