Machine Learning for Engineering & Science Applications | IIT Madras - #67 Training RNNs | Loss & BPTT | Machine Learning for Engineering & Science Applications
Unlock the Future: Master AI & Machine Learning with NPTEL-IITM’s Comprehensive Course! Dive into Neural Networks, Deep Learning, Probabilities, and Optimization Techniques tailored for Engineering & Science Applications. Your AI journey starts here!
4.0(2)
22 learners
What you'll learn
Understand the historical development and foundational concepts of artificial intelligence.
Gain proficiency in applying machine learning techniques to engineering and science problems.
Develop skills in using linear algebra and calculus for machine learning modeling.
Learn to implement and optimize machine learning algorithms using Python packages.
Welcome to 'Machine Learning for Engineering & Science Applications' course !
This lecture discusses how to train RNNs. The loss function is calculated by summing the losses over all time steps. Backpropagation through time (BPTT) is an algorithm for calculating the gradients of the network's weights.
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 #Training #LossFunction #BackpropagationThroughTime
Continue this lesson in the app
Install CourseHive on Android or iOS to keep learning while you move.
