In Chapter 11 we studied artificial neural networks (NNs), a supervised learning paradigm that mimics the way neurons in our brain work. The learning process in NNs consists of approximating a function described in a tabular manner via a training data set containing features of objects (inputs to the function to be approximated) and their corresponding classification (outputs of the function).
Priyanshu SinghPranali PawarNikhil Raj
Vijay ManeRuta SapateSamruddhi RautRohan SonjiArya Khairnar
Jeisetti SaitejaPodila Srivally RaoPrabhupad Bharadwaj
Hrudai Pavankumar S PAkshay Nayak B.SAbhijna R SDashami H NHemanth K S