Selected article for: "deep learning model and learning model"
Author: Alejandro Lopez-Rincon; Alberto Tonda; Lucero Mendoza-Maldonado; Eric Claassen; Johan Garssen; Aletta D. Kraneveld
Title: Accurate Identification of SARS-CoV-2 from Viral Genome Sequences using Deep Learning
  • Document date: 2020_3_14
    • ID: c2lljdi7_18
    Snippet: The deep learning model used for the experiments is a CNN with a con-120 volutional layer with max pooling, a fully connected layer, and a final softmax layer, as described in Fig. 4 . The input is a vector of 31,029 elements,.....
    Document: The deep learning model used for the experiments is a CNN with a con-120 volutional layer with max pooling, a fully connected layer, and a final softmax layer, as described in Fig. 4 . The input is a vector of 31,029 elements,

    Search related documents:
    Co phrase search for related documents
    • experiment learning model and learning model: 1, 2, 3
    • fully connected layer and learning model: 1, 2, 3, 4, 5, 6, 7, 8
    • fully connected layer and softmax layer: 1, 2, 3, 4
    • learning model and softmax layer: 1, 2, 3, 4