Deep Learning, Python, Data Science, Programming, Neural Networks.
to stop updating. Once a ReLU neuron becomes dead or inactive, it fails to contribute to the learning process so the model performance will be affected. The dying ReLU problem is more likely to occur when using a high learning rate, particularly with large initial weight values. It can also arise