Machine Learning for Engineering & Science Applications | IIT Madras - #59 Transfer 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 discusses transfer learning, which is a strategy used for training deep neural networks when the number of data points available for training is low. The idea is to use a pre-trained model, such as AlexNet, and fine-tune it for the specific task.
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
#TransferLearning #DeepNeuralNetwork #PreTrainedModel #AlexNet #ImageNet
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