Selected article for: "deep learning and training process"

Author: Jonas Pfab; Dong Si
Title: DeepTracer: Predicting Backbone Atomic Structure from High Resolution Cryo-EM Density Maps of Protein Complexes
  • Document date: 2020_2_13
  • ID: er6lz09f_9
    Snippet: The deep learning model represents the central entity in the structure prediction. Its job is to predict not only the locations of amino acids but also secondary structure positions and amino acid types. To explain its realization, we start by looking at its architecture. Then, we move on to the data collection and preprocessing steps and finally describe the model's training process......
    Document: The deep learning model represents the central entity in the structure prediction. Its job is to predict not only the locations of amino acids but also secondary structure positions and amino acid types. To explain its realization, we start by looking at its architecture. Then, we move on to the data collection and preprocessing steps and finally describe the model's training process.

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