Random Initialization, Deep Learning.
Introduction When you change your neural network, it’s important to initialize the weights randomly. For logistic regression, it was okay to initialize the weights to zero. But for a neural network of initialize the weights to parameters to all zero and then applied gradient descent, it won’t work.