公开(公告)号：US11676036B2

公开(公告)日：2023-06-13

申请号：US16880346

申请日：2020-05-21

申请人： DIMAAG-AI, Inc.

发明人： Nagarjun Pogakula Surya ,  Gomathi Sankar ,  Fuk Ho Pius Ng ,  Satish Padmanabhan

IPC分类号： G06N3/086 ,  G06N3/045

CPC分类号： G06N3/086 ,  G06N3/045

摘要： Systems and methods are disclosed for training a previously trained neural network with incremental dataset. Original train data is provided to a neural network and the neural network is trained based on the plurality of classes in the sets of training data and/or testing data. The connected representation and the weights of the neural network is the model of the neural network. The trained model is to be updated for an incremental train data. The embodiments provide a process by which the trained model is updated for the incremental train data. This process creates a ground truth for the original training data and trains on the combined set of original train data and the incremental train data. The incremental training is tested on a test data to conclude the training and to generate the incremental trained model, minimizing the knowledge learned with the original data. Thus, the results remain consistent with the original model trained by the original dataset except the incremental train data.