Multilayer Perceptron - MLP

Concept and definition

Multilayer Perceptron - MLP

What is Multilayer Perceptron - MLP?

An Artificial Neural Network consists of multiple layers of nodes, with each layer fully connected to the next. To specify an MLP it is necessary to define: the activation function of the neurons, the number of hidden layers and the number of nodes per layer.

In other words, a multilayer perceptron (MLP)is a supervised learning algorithm that learns a function by training on a data set. Given a set of features and a target, it can learn a nonlinear function approximator (= approximation) for classification or regression. It differs from logistic regression in that there may be one or more nonlinear layers called hidden layers between the input and output layers. The figure shows an MLP with a hidden layer with scalar output.

« Back to glossary

Do you want to get in touch?

CDRs contain data that a telecommunications company collects about phone calls, such as time and length of call. This data can be used in analytical applications.
Fill the form
Share:
The 5 Challenges of Big Data in Machine Learning

5 Big Data challenges can be highlighted which are defined as V (volume, velocity, veracity, variety and value). R. Narasimhan discussed 3V with [...]

Read More »
Which companies can Artificial Intelligence help?

Artificial Intelligence is transforming the way in which companies relate to their customers, how work is managed, the way they work, the way in which [...]

Read More »
What is factoring and when to use it in your company?

When seeking financing for companies, one of the most widely used formulas today is factoring. This is a resource that is not always [....]

Read More »
BNPL - Buy Now Pay Later

The fad coming from the USA that will force the incorporation of AI in the process Surely it is only recently that we have started to hear a new concept in [...]

Read More »
4 keys to identify customer needs

In order to identify the customer's needs, it is necessary to know their opinion, as this helps to detect where you should improve, what acceptance you [...]

Read More »
See more entries
© Gamco 2021, All Rights Reserved - Legal notice - Privacy - Cookies