Training Tensorflow models requires a model, a loss function, the gradient computation and a training routine that iteratively computes the gradients of the model weights relative to the loss and updates the we
tf.clip_by_global_norm(t_list,clip_norm,use_norm=None,name=None) Gradient Clipping的引入是为了处理gradient explosion或者gradients vanishing的问题。当在一次迭代中权重的更新过于迅猛的话,很容易导致loss divergence。Gradient Clipping的直观作用就是让权重的更新限制在一个合适的范围。