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Table 1 Hyperparameters for Fold Classification Architecture

From: DeepFrag-k: a fragment-based deep learning approach for protein fold recognition

Layer Layer type # of Units Unit Type Size Stride
Input   # of fragments    
COV_1 Convolution 10 ReLU 1,10 1,1
MP_1 Max Pool    1,10 1,1
ST Stacking     
COV_2 Convolution 100 ReLU 10,10 1,1
MP_2 Max Pool    5,5 5,5
FC_1 Fully Connected 100 ReLU   
FC_2 Fully Connected 100 ReLU   
Output SoftMax # of folds Logistics