Machine Learning, Deep Learning, Data Science, Towards Data Science, TensorFlow.
regularization, anything may help. I usually use l1 or l2 regularization, with early stopping. For ConvNets without batch normalization, Spatial Dropout is helpful as well As a side note, deep learning models are known to be data-hungry. These models need a lot of data to disentangle very complex