Data classification method and device, equipment and storage medium

The invention discloses a data classification method and device, equipment and a storage medium, and relates to the field of artificial intelligence, and the method comprises the steps: obtaining input data of a classification task; and inputting the input data of the classification task into a pre-constructed neural network model for classification to obtain a classification result, the neural network model being obtained through training of a loss function and an optimization algorithm. The training time can be shortened, and incremental training is supported. 本发明公开了一种数据分类方法、装置、设备以及存储介质，涉及人工智能领域，其方法包括：获取分类任务的输入数据；将所述分类任务的输入数据输入预先构建的神经网络模型中进行分类，得到分类结果，所述神经网络模型通过损失函数和优化算法训练得到。本发明能够减少训练时间，并且支持增量训练。