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The Principled Design of Large-Scale Recursive Neural Network Architectures–DAG-RNNs and the Protein Structure Prediction Problem

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Academic year: 2020

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Figure

Figure 1: Overall pipeline strategy for machine learning protein structures.Example of 1SCJ(Subtilisin-Propeptide Complex) protein
Figure 3: A BRNN architecture with a left (forward) and right (backward) context associated withtwo recurrent networks (wheels).
Figure 4: General layout of a DAG for processing two-dimensional objects such as contact maps,with nodes regularly arranged in one input plane, one output plane, and four hiddenplanes
Figure 5: Details of connections within one column of Figure 4. The input variable is connected tothe four hidden variables, one for each hidden plane
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