Optimization for Deep Learning (Momentum, RMSprop, AdaGrad, Adam)
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YouTubeDeepBean
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 ...
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