Neuronal Networks PART II Units

in #science7 years ago (edited)

Hey Community,

Today we are going on with the second part.

You can find all previous posts in this list:

PartHeadlineSteemit Link:
IIntroductionhttps://steemit.com/neuronalnetwork/@haggy2k3/neuronal-networks-part-1-introduction
IIUnitsCurrent Document
IIIConnectionshttps://steemit.com/science/@haggy2k3/neuronal-networks-part-iii-connections
IVInputshttps://steemit.com/science/@haggy2k3/neuronal-networks-part-iv-inputs
VActivities and Outputs
VITraining and Test
VIIMetrics
VIIILearning Rules
IXTypes of NN
XFeatures of NN
XIUse Cases
XIIBonus: Getting started with Membrain


Units

Neural networks consist of several neurons. These neurons are also referred to
as units, units or nodes. They are used to collect information from the
environment or from other neurons and to forward it to other units or the
environment in a modified form.

In this picture you can see the three different types of neurons:

Input units (the red ones in the picture):

  • units that can receive signals (stimuli, patterns) from the outside world.

Hidden units (the yellow ones in the picture):

  • units that are located between input and output units and contain an
    internal modified representation of the outside world.

Output units (the green ones in the picture):

  • units that transmit signals to the outside world.

nodes within the same vertical order (for example, the two output units on the
right in the figure) are grouped together as a layer.

If you like this post and you want to read more please upvote, resteem and/or follow my blog.

Best regards

Haggy2k3