A Just Resembling Translations of Feed Forward and Back Propagation Neural networks
Amitesh Kumar Singam, Muhammad Usman Shahid · 2023
We proposed an approach which can maintain its originality by quantifying principles components towards generated errors and rectifying this errors by retrieved language encryption or translations of traditional neural networks which resembles our approach.Even though proposed method resembles traditional neural networks, our concepts towards translations varies from one to other person according to his/her perceptions or behaviour based on human visualisation characteristics.