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Interplay between Optimization and Generalization in Deep Neural Networks - Keerthi Selvaraj

Interplay between Optimization and Generalization in Deep Neural Networks - Keerthi Selvaraj

Fine Grained analysis of optimization and generalization in two-layer neural networks

Fine Grained analysis of optimization and generalization in two-layer neural networks

(Old) Lecture 7 | Optimization and Generalization

(Old) Lecture 7 | Optimization and Generalization

(Zhang et al., 2017) Understanding deep learning requires rethinking generalization

(Zhang et al., 2017) Understanding deep learning requires rethinking generalization

Lecture 9.1 — Overview of ways to improve generalization [Neural Networks for Machine Learning]

Lecture 9.1 — Overview of ways to improve generalization [Neural Networks for Machine Learning]

Carlo Lucibello - Entropic algorithms and wide flat minima in neural networks

Carlo Lucibello - Entropic algorithms and wide flat minima in neural networks

The mystery of over-parametrization in neural networks Behnam Neyshabur

The mystery of over-parametrization in neural networks Behnam Neyshabur

Controllable Orthogonalization in Training DNNs

Controllable Orthogonalization in Training DNNs

Family wishes to Svadharma-Farmin on their wedding day Edited By Subha

Family wishes to Svadharma-Farmin on their wedding day Edited By Subha

Understanding deep learning requires rethinking generalization

Understanding deep learning requires rethinking generalization

Andrew Saxe - High-Dimensional Dynamics Of Generalization Errors [IndabaX South Africa 2019]

Andrew Saxe - High-Dimensional Dynamics Of Generalization Errors [IndabaX South Africa 2019]

Math for Machine Learning | 8 Orthogonality in Machine Learning

Math for Machine Learning | 8 Orthogonality in Machine Learning