Machine Learning for Engineering & Science Applications | IIT Madras - #65 Introduction to RNNs | 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!
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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 introduces recurrent neural networks (RNNs), which are a type of neural network that is well-suited for processing sequential data. RNNs have a hidden state that is updated at each time step. This allows RNNs to "remember" information from previous time steps.
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#RNN #RecurrentNeuralNetwork #ANN #CNN #SequentialInformation #NaturalLanguageProcessing
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