Artificial Intelligence / Fundamentals of Deep Learning: Journey Toward Intelligent Imaging Workshop
NVIDIA Deep Learning Institute and Chester F. Carlson Center for Imaging Science
Artificial Intelligence / Fundamentals of Deep Learning: Journey Toward Intelligent Imaging Workshop
Register Here
Abstract:
In this workshop, participants will learn the fundamentals of deep learning and explore how these concepts drive innovation in imaging science. Whether you're a practitioner or just beginning your journey into the world of artificial intelligence, this workshop offers valuable insights and hands-on experiences that bridge theory with real-world imaging applications—empowering you to understand how deep learning enables intelligent imaging systems and visual perception.
Workshop Highlights:
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Gain a solid understanding of the foundational concepts of deep learning, including neural networks, activation functions, and gradient descent optimization.
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Explore popular deep learning architectures such as convolutional neural networks (CNNs) for image processing, recurrent neural networks (RNNs) for sequential data analysis, and generative adversarial networks (GANs) for synthetic data generation.
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Learn about key training and optimization techniques essential for efficiently training deep neural networks, including stochastic gradient descent, batch normalization, and regularization methods.
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Get hands-on experience with cutting-edge NVIDIA GPUs and software tools, accelerating your deep learning workflows and tackling complex tasks.
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Discover best practices and tips for designing and training robust deep learning models, optimizing performance, and avoiding common pitfalls.
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Engage with colleagues during interactive Q&A sessions and connect with fellow participants to share insights and experiences.
Intended Audience: Free to COS students. NVIDIA certificates provided to participants!
Event Snapshot
When and Where
Who
This is an RIT Only Event
Interpreter Requested?
No