Machine Learning for Engineering & Science Applications | IIT Madras - #46 Feedforward Neural Network | 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 the concept of a feedforward neural network, which is a collection of artificial neurons organized into layers. The input layer receives the input data, the hidden layers process the data, and the output layer produces the final output. Deep networks are networks with more than one hidden layer.
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