Neural Network Layers
Understanding How Neural Network Layers Work
This article aims to provide an overview of how the layers within a neural network operate.
If you want to understand what neural networks are then please read:
What Are Neural Network Layers?
Think of a layer as a container of neurons. A layer groups a number of neurons together. It is used for holding a collection of neurons.
There will always be an input and output layer. We can have zero or more hidden layers in a neural network.
The learning process of a neural network is performed with the layers.
The key to note is that the neurons are placed within layers and each layer has its purpose.
The neurons, within each of the layer of a neural network, perform the same function. They simply calculate the weighted sum of inputs and weights, add the bias and execute an activation function.
