粗略地说,正则化是通过在损失函数中加入一个与模型权值的函数成正比的惩罚项来减少过度拟合的方法 Regularizers allow you to apply penalties on layer parameters or layer activity during optimization. Thes…
return fn(*args, **kwargs) /home/omnisky/anaconda3/envs/tf2d1/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py:532 train_step ** loss = self.compiled_loss( /home/omnisky/anaconda3/envs/tf2d1/lib/python3.8/site-packages/tensorflow/python/keras/engine/compile_utils.p...