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15:52
YouTube
DeepBean
Optimization for Deep Learning (Momentum, RMSprop, AdaGrad, Adam)
Here we cover six optimization schemes for deep neural networks: stochastic gradient descent (SGD), SGD with momentum, SGD with Nesterov momentum, RMSprop, AdaGrad and Adam. Chapters --------------- Introduction 00:00 Brief refresher 00:27 Stochastic gradient descent (SGD) 03:16 SGD with momentum 05:01 SGD with Nesterov momentum 07:02 AdaGrad ...
125.7K views
Mar 2, 2023
Stochastic Control Applications
Lecture 16: Introducing Stochastic Optimal Control | Underactuated Robotics | Electrical Engineering and Computer Science | MIT OpenCourseWare
mit.edu
Apr 10, 2022
Lecture 21: Stochastic Differential Equations | Topics in Mathematics with Applications in Finance | Mathematics | MIT OpenCourseWare
mit.edu
Apr 3, 2022
Stochastic vs Deterministic Models: Understand the Pros and Cons
ev.uk
Jun 23, 2020
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