Random Initialization, Deep Learning.
will do! The distribution of random values we choose matters. Here are some popular options: Uniform distribution: Values are randomly spread within a predefined range. Simple, but can lead to slow learning. Gaussian distribution (Normal distribution): Most values cluster around zero, with fewer