Fig. 2
From: Deep learning diagnosis plus kinematic severity assessments of neurodivergent disorders
Deep learning network architecture. The network architecture uses 3-dimensional (x, y, and z axes) kinematic inputs passed to 2 Long Short-Term Memory (LSTM) layers and followed by a fully connected Linear layer resulting in output diagnostic prediction.
