Explore the concept of implicit regularization in deep learning with Nati Srebro from the Toyota Technological Institute at Chicago. Delve into advanced topics and techniques related to this crucial aspect of machine learning in this comprehensive lecture from the Deep Learning Boot Camp. Gain insights into how implicit regularization affects model performance and generalization, and discover strategies for leveraging this phenomenon in your own deep learning projects.
Overview
Syllabus
Implicit Regularization II
Taught by
Simons Institute
Related Courses
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Implicit Regularization I
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Intro to Regularization with Python
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Towards Understanding the Implicit Regularization Effect of SGD
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Prevent Overfitting in Model Training
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Implicit and Explicit Regularization in Deep Neural Networks
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Generalization in Deep Learning Through the Lens of Implicit Rank Minimization
