Machine Learning for Engineering & Science Applications | IIT Madras - #69 RNN Architectures | Machine Learning for Engineering & Science Applications

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture discusses long short-term memory (LSTM) and gated recurrent units (GRUs). LSTMs and GRUs are two types of RNN architectures that are designed to address the vanishing gradient problem. LSTMs use a memory cell to store information from previous time steps. GRUs use a forget gate to control how much information from previous time steps is retained. 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 #RNN #LSTM #GRU #VanishingGradientProblem #ShortTermMemory #ForgetGate