Why Initialize Weights in Neural Network
Initializing weights and biases is a crucial step in building a neural network. Proper initialization helps ensure that the network converges to a good solution and does so efficiently. Let’s explore the reasons in detail: 1. Breaking Symmetry If all weights are initialized to the same value (e.g., zeros), then…