Machine Learning for Engineering & Science Applications | IIT Madras - #30 Gradient Descent Algorithms | Machine Learning for Engineering & Science Applications

Welcome to 'Machine Learning for Engineering & Science Applications' course ! In this lecture, we'll tackle gradient descent algorithms, essential tools for optimization in machine learning. We'll break down three key variations: batch gradient descent, stochastic gradient descent, and mini-batch gradient descent. Get ready to explore advanced gradient descent techniques that accelerate deep learning network convergence, including momentum-based, Nesterov accelerated gradient, Adagrad, AdaDelta, and RMSprop. 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 #GradientDescent #Optimization #DeepLearning