Hello, DAEN Students!
I know several of you reached out to me with questions about the content of AIT 746. The professor of the course in Fall 2024, Dr. Aisha Sikder Behr, wanted to share the information
below about the class and invite students to join. Prerequisites for the class are CS 504, AIT 636, and AIT 736.
Are you interested in pushing the boundaries of artificial intelligence? This fall, we are offering a section in AIT-746 Applied Deep Learning.
This course will equip you with the skills and knowledge to tackle real-world problems using cutting-edge deep learning techniques. You'll delve into the world of Convolutional
Neural Networks (CNNs), Reinforcement Learning Models, and Transformer architectures – the foundational element behind Large Language Models (LLMs)!
Here's what you can expect:
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Gain hands-on experience building and deploying deep learning models.
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Explore the applications of CNNs in image recognition and computer vision.
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Learn how Reinforcement Learning models can optimize decision-making for complex tasks.
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Understand the power of Transformer models that are revolutionizing natural language processing.
By the end of the course, you'll have a solid foundation in deep learning concepts and the practical skills to apply them to real-world applications. See Course Schedule below
to learn more. Don't miss this exciting opportunity to gain a solid understanding of deep learning models, sign up today!
Course Schedule:
Module 1 - Introduction to Deep Learning
Module 2 - Neural Networks
Module 3 - Autoencoders and Convolutional Neural Networks
Module 4 - Recurrent Neural Networks (RNNs)
Module 5 - Using Deep Models for Embeddings
Module 6 - Transformer Architecture
Module 7 - Reinforcement Learning, Key Algorithms, and Responsible AI
Module 8 - Machine Learning Operations
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Best Regards,
Mary
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Mary Baldwin-Slupe (She/Her/Hers) Graduate Academic Advisor – Data Analytics Engineering Program
College of Engineering and Computing – Volgenau School of
Engineering https://analyticsengineering.gmu.edu/academics/advising
Upcoming out of Office Dates:
Labor Day – September 2nd 2024 _________________________________ Schedule
an Academic Advising Appointment |
