A Deep Learning Approach for Table Tennis Forehand Stroke Evaluation System Using an IMU Sensor

<div>The deep models’ behavior according to three different hyperparameters: (a) number of the hidden layers; (b) number of the neurons in the FC layers; (c) dropout rate.</div>

Computational Intelligence and Neuroscience

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Figure 3

Figure 3: A Deep Learning Approach for Table Tennis Forehand Stroke Evaluation System Using an IMU Sensor 