Layers¶
This module contains the descriptions of the layers to form a Neural Network.
Besides the Korali lightweight implementation, we support
Each layer consists of a vector \(\mathbf{z}^l\in\mathbb{R}^{n_l}\) with Node Count elements. Each layer is connected to the previous layer by Weights, a Bias and an activation function Activation Function.
Sub-Categories: