https://github.com/nikhilroxtomar/multi-layer-perceptron-in-python
A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs. An MLP consists of multiple layers of nodes in a directed graph, with each layer fully connected to the next one.
https://github.com/nikhilroxtomar/multi-layer-perceptron-in-python
algorithm deep-learning mlp multi-layer-perceptron perceptron
Last synced: 6 months ago
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A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs. An MLP consists of multiple layers of nodes in a directed graph, with each layer fully connected to the next one.
- Host: GitHub
- URL: https://github.com/nikhilroxtomar/multi-layer-perceptron-in-python
- Owner: nikhilroxtomar
- Created: 2017-10-10T08:21:26.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2020-01-08T05:00:13.000Z (over 5 years ago)
- Last Synced: 2025-03-28T08:11:19.897Z (6 months ago)
- Topics: algorithm, deep-learning, mlp, multi-layer-perceptron, perceptron
- Language: Python
- Homepage: https://www.youtube.com/watch?v=veA2P6boaO0
- Size: 1.95 KB
- Stars: 8
- Watchers: 2
- Forks: 8
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Multi-Layer-Perceptron-in-Python
In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers .It is a type of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor function combining a set of weights with the feature vector. The algorithm allows for online learning, in that it processes elements in the training set one at a time.
A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs. An MLP consists of multiple layers of nodes in a directed graph, with each layer fully connected to the next one.