Machine Learning for Engineering & Science Applications | IIT Madras - #61 Activation Functions | Machine Learning for Engineering & Science Applications

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture unlocks the world of activation functions in neural networks. We'll cover the popular sigmoid, tanh (hyperbolic tangent), and ReLU (Rectified Linear Unit) activation functions, dissecting their characteristics and potential challenges. Learn about the saturation problem in sigmoid and tanh functions and why ReLU stands out as a more effective activation function, particularly in computer vision tasks. We'll also explore variations like Leaky ReLU, Parametric ReLU, and Exponential Linear Unit. 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 #ActivationFunctions #Sigmoid #Tanh #ReLU