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Table 1 Performance comparison of RNN and two-layer CNN models

From: Automated analysis of pectoralis major thickness in pec-fly exercises: evolving from manual measurement to deep learning techniques

 

Smooth loss

MSE loss

Model parameter size

RNN (LSTM) [22]

0.1004 ± 0.0004

0.0016 ± 0.0004

21,223,410

Two-layer CNN (our)

0.1005 ± 0.0001

0.0015 ± 0.0002

21,210,289

  1. Model parameter size: the total number of trainable parameters within the model