What is xavier initialization?

Xavier Initialization is the initialization of weights in the neural networks, as a random variable following the Gaussian distribution where the variance being given by

Where, is the number of units in the current layer, that is, the incoming signal units, and is the number of units in the next layer, that is, the outgoing resulting signal units. In short, is the shape of .