Ways to suppress overfitting

 1、Dropout

        Each time the network is updated, set the network, for example, to 0.5. Half of the neural network is dead and half is updated.

2. Regularization

        Constrain model complexity

3. Data augmentation

        The amount of data is increased through some means.