Deep learning in situ retraining uses deep learning nodes to provide a human perception state on a user device. A plurality of images including facial data is obtained for human perception state analysis. A server device trains a set of weights on a set of layers for deep learning that implements the analysis, where the training is performed with a first set of training data. A subset of weights is deployed on deep learning nodes on a user device, where the deploying enables at least part of the human perception state analysis. An additional set of weights is retrained on the user device, where the additional set of weights is trained using a second set of training data. A human perception state based on the subset of the set of weights, the additional set of weights, and input images obtained by the user device is provided on the user device.
DEEP LEARNING IN SITU RETRAINING