eldr.ai | What is an ELDR AI Model?



An Artificial Neural Network or Model is made up of Artificial Neurons that are linked together, much like the neurons of a human brain. When we say "Artificial", we mean mathematical representations of individual neurons working in computer memory, all linked together to influence each other. This is the essence of Artificial Intelligence.

Artificial Neural Networks and Models work by taking data as input(s), and working out how all the links within and between data lead to an output(s). They continually work and adjust to match the relationship between the specified inputs and outputs. In doing so the model learns a mathematical model that fits the data - much like how the human brain works.

When a model has finished learning or it has been "Trained" it is stored, and when it receives data it hasn't seen before the data passes through the now-rigid network resulting in a prediction based on how it has learnt to process the data.

AI Models are completely different to traditional software as the same network can work dynamically with hugely diverse types and sets of data and scenarios, unlike a standard software program which has to be told what to do at every stage.

We have said that Models are made of Artificial Neurons. These ANNs are arranged in layers and the process flow between and around them is governed by various parameters and other factors. In the next sections we'll discuss these layers, structures and parameters to get a better understanding of how ELDR AI Models are put together and learn. In doing so it will allow you to create your own Models.