Table 4 14 deep learning architectures with different hidden units and epoch.

From: Improving Protein Fold Recognition by Deep Learning Networks

INDEX

ARCHITECTURE

MODEL 1

84-100-100-30-1_60 epoch

MODEL 2

84-250-35-1_60 epoch

MODEL 3

84-100-100-25-1_30 epoch

MODEL 4

84-100-100-25-1_60 epoch

MODEL 5

84-150-150-25-1_60 epoch

MODEL 6

84-120-120-30-1_30 epoch

MODEL 7

84-250-35-1_30 epoch

MODEL 8

84-100-100-35-1_60 epoch

MODEL 9

84-100-35-1_30 epoch

MODEL 10

84-100-100-30-1_30 epoch

MODEL 11

84-100-100-35-1_30 epoch

MODEL 12

84-250-1_30_epoch

MODEL 13

84-150-150-25-1_30 epoch

MODEL 14

84-150_150_35_1_30 epoch

  1. In this table 84-X-X-X-1_Y represent the architecture in the deep learning network, where X denotes the number of hidden nodes in each hidden layer and Y denotes the epoch in each training process.
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