Hey Community,
as i promised in my first post, ich will start to give you a rough overview of
neuronal networks an what they are able to do.
This post will be posted in serveral Parts starting here with the Indroduction.
You can find all posts in this List:
| Part | Headline | Steemit Link: |
|---|---|---|
| I | Introduction | Current Document |
| II | Units | https://steemit.com/science/@haggy2k3/neuronal-networks-part-ii-units |
| III | Connections | https://steemit.com/science/@haggy2k3/neuronal-networks-part-iii-connections |
| IV | Inputs | https://steemit.com/science/@haggy2k3/neuronal-networks-part-iv-inputs |
| V | Activities and Outputs | |
| VI | Training and Test | |
| VII | Metrics | |
| VIII | Learning Rules | |
| IX | Types of NN | |
| X | Features of NN | |
| XI | Use Cases | |
| XII | Bonus: Getting started with Membrain |
Introduction
Neural networks refer to the neural network of the human brain. This serves as an analogy and inspiration for computer simulated artificial neural networks. However, this analogy is often no longer in the foreground in today's work on neural networks.
The first ones to study neural networks were Warren McCulloch and Walter Pitts in 1943 with their formal model of the neuron.
Warren McCulloch
Walter Pitts
The work with and to neural networks has increased since 1986 very strong. There are now numerous scientific journals that deal primarily with this topic. "Neurocomputing", "Neural Computation" or "Neural Networks". Meanwhile, the
scope of the method can be divided into two broad areas: Artificial neural Networks, which are modeled to better understand human behavior and experience or the functioning of the human brain. Artificial neural networks, which serve concrete application problems from areas such. B. Statistics, economics, engineering and many other areas to solve. Overall, the idea of neural networks exerts a very high fascination on many people. This learning aid should on the one hand try to transfer this enthusiasm to you. At the same time, however, it should also be shown that neural networks are nothing more than matrix calculations.
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Best regards
Haggy2k3