Random Initialization, Deep Learning.
all neural network weights to zero. After all, it’s a clean slate, right? Wrong! Starting with zeros creates symmetry, where all neurons in a layer perform identical calculations. This makes it incredibly difficult for the network to learn anything meaningful. And let’s say B1 is also equal to 0 0.