Selected article for: "adam optimizer and loss function"

Author: Amine Amyar; Romain Modzelewski; Su Ruan
Title: Multi-task Deep Learning Based CT Imaging Analysis For COVID-19: Classification and Segmentation
  • Document date: 2020_4_21
  • ID: hiac6ur7_30
    Snippet: In our experiments, the Adam optimizer [27] algorithm was used with a mini batches of 4 and a learning rate of 0.0001 for the 3 tasks to optimize the global loss function(loss glob):.....
    Document: In our experiments, the Adam optimizer [27] algorithm was used with a mini batches of 4 and a learning rate of 0.0001 for the 3 tasks to optimize the global loss function(loss glob):

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