rm(list=ls()) #Cleans workspace. #Read in code. wdbc = read.csv('/Users/jennstarling/UTAustin/2016_Fall_SDS 385_Big_Data/Course Data/wdbc.csv', header=FALSE) y = wdbc ...
Abstract: Machine learning, especially deep neural networks, has developed rapidly in fields, including computer vision, speech recognition, and reinforcement learning. Although minibatch stochastic ...
Abstract: Machine learning, especially deep neural networks, has developed rapidly in fields, including computer vision, speech recognition, and reinforcement learning. Although minibatch stochastic ...
At the heart of the decision to use minibatches is computational efficiency. This is most easily understood when considering parallelization to multiple GPUs and multiple servers. In this case we need ...
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