Machine Learning for Engineering & Science Applications | IIT Madras - #31 Introduction to Week 5 | Deep Learning | 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 marks the beginning of the deep learning module, providing an overview of the topics covered during the week. It revisits linear regression and introduces logistic regression as a classification model. The lecture emphasizes the core components of deep learning models, including activation functions, loss functions, and the structure of neural networks.
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#DeepLearning #LogisticRegression #Classification #NeuralNetworks #ActivationFunction #LossFunction
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