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Explore the challenges of deep learning with Stanford's Chris Manning in this under 1-hour material from Simons Institute. Dive into language modeling, transformer models, and neural state machines.
Explore the complexities of estimating Convolutional and Recurrent Neural Networks in this under 1-hour material from Simons Institute, featuring Aarti Singh from Carnegie Mellon University.
Explore generalization theory in deep learning with Simons Institute. Understand PAC-Bayes risk bounds, SGD prediction, and neural network priors in under an hour.
Explore transfer learning in deep learning applications, specifically in medical imaging, with this under 1-hour material from Simons Institute. Learn from Maithra Raghu of Cornell University & Google Brain.
Explore deep learning under distribution shift with Zack Lipton from Carnegie Mellon University, offered by Simons Institute. Learn about adversarial misspellings, label shift, and more in under an hour.
Explore deep learning for autonomous systems perception from a control theory perspective with Claire Tomlin from Simons Institute. Less than 1-hour workload.
Explore interpretability in deep learning with Google Brain's Been Kim in this under 1-hour offering from Simons Institute. Learn about benchmarking methods, concept activation vectors, and more.
Explore the robustness of defenses to adversarial examples with Nicholas Carlini from Google Brain, in this less than 1-hour material from Simons Institute. Learn to disentangle true robustness from apparent robustness.
Explore robust deep learning with Microsoft Research's Jerry Li, in a short program by Simons Institute. Learn about adversarially trained smoothed classifiers, gradients, and more.
Explore adversarial robustness in deep learning with Zico Kolter from Carnegie Mellon University, offered by Simons Institute. Less than 1-hour workload.
Explore deep learning with Richard Baraniuk from Rice University, offered by Simons Institute. Dive into topics like spline approximation, data memorization, and net complexity in under an hour.
Explore the frontiers of deep learning with Google Brain's Yasaman Bahri in this under 1-hour material from Simons Institute. Dive into neural networks, Bayesian inference, and more.
Explore the frontiers of deep learning with Ben Recht from UC Berkeley in this under 1-hour material from Simons Institute. Dive into machine learning, generalization, regression, and more.
Explore landscape connectivity of low-cost solutions for multilayer nets with Rong Ge from Duke University. This Simons Institute offering takes less than an hour.
Explore the foundations of deep learning, SGD, overparametrization, and generalization in this under 1-hour material from Simons Institute. Dive into dynamics of prediction, margin theory, and more.
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