Piilokerros

Piilokerros is a Finnish term that translates to "hidden layer" and is commonly used in the context of neural networks. In artificial intelligence and machine learning, a neural network is a computational model inspired by the structure and function of biological neural networks. These networks are composed of interconnected nodes, often referred to as neurons, organized in layers.

A typical neural network consists of an input layer, one or more hidden layers, and an output layer. The input layer receives the raw data, and the output layer produces the network's final prediction or classification. The piilokerros, or hidden layer, sits between the input and output layers. These layers are called "hidden" because their output values are not directly observable from the outside; they are intermediate computations within the network.

The primary function of hidden layers is to learn and extract complex patterns and features from the input data. Each neuron in a hidden layer receives input from the previous layer, applies a mathematical function (an activation function), and passes its output to the next layer. The number of hidden layers and the number of neurons within each layer are crucial design choices that significantly impact a neural network's ability to learn and generalize. Deeper networks with more hidden layers are generally capable of learning more intricate representations, but they also require more data and computational resources.