The Dying ReLU Problem, Causes and Solutions. Part 1
Keep your neural network alive by understanding the downsides of ReLU What is the dying ReLU problem? Rectified Linear Unit (ReLU) is a nonlinear activation function used in deep learning. f(x)=max(0,x) The above function means that the negative values are mapped to zero and the positive values are returned. It is faster than other activation functions in such a way that all the neurons are not activated…
The Dying ReLU Problem, Causes and Solutions. Part 1 Keep your neural network alive by understanding the downsides of ReLU What is the dying ReLU problem? Rectified Linear Unit (ReLU) is a nonlinear activation function used in deep learning. f(x)=max(0,x) The above function means that the negative values are mapped to zero and the positive values are returned. It is faster than other activation functions in such a way that all the neurons are not activated… deep-learning
Dying ReLU Problem Causes Solutions Part 1 Keep neural network alive understanding downside ReLU dying ReLU problem Rectified Linear Unit ReLU nonlinear activation function used deep learning fxmax0x function mean negative value mapped zero positive value returned faster activation function way neuron activated… deeplearning