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  • Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal, Mikhail Smelyanskiy, Ping Tak Peter Tang
  • Computer Science, Mathematics
  • ICLR
  • 2017 (First Publication: 15 September 2016)
  • The stochastic gradient descent (SGD) method and its variants are algorithms of choice for many Deep Learning tasks. These methods operate in a small-batch regime wherein a fraction of the trainingContinue Reading