Deep learning is a form of machine ... of neurons “dying” during training if the learning rate is set too high. The output of the activation function can pass to an output function for ...

can be any non-linear differentiable function like sigmoid, tanh, ReLU, etc. (commonly used in the deep learning community). Learning in neural networks is nothing but finding the optimum weight ...

Deep learning is based on the concept of artificial neural networks, or computational systems that mimic the way the human brain functions. And so, our brief history of deep learning must start ...