Machine Learning for Engineering & Science Applications | IIT Madras - #43 Schematic of Multinomial Logistic Regression

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture presents a schematic representation of multinomial logistic regression, illustrating the flow of information from input features to output classes. It explains the use of weight matrices to connect input and output layers, highlighting how different weights are needed for each output class. The lecture aims to provide a visual understanding of the structure and operation of multinomial logistic regression models. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #MultinomialLogisticRegression #Softmax #ForwardModel #WeightMatrix #MulticlassClassification