Neural Network Tutorial 3 – Implementing The Perceptron Algorithm In Python


Welcome to the next video on Neural Network Tutorial. this video provides an Implementation The Perceptron Algorithm In Python.
Perceptron Learning Algorithm was First neural network learning model in the 1960’s. Perceptron Learning Algorithm is Simple and limited (single layer models). Perceptron Basic concepts are similar for multi-layer models so this is a good learning tool
Still used in many current applications (modems, etc.)

An artificial neural network is composed of many artificial neurons that are linked together according to a specific network architecture. The objective of the neural network is to transform the inputs into meaningful outputs.
What is a ( an Artificial) Neural Network? Neural Networks are Inspired from real neural systems. They Have a network structure, consisting of artificial neurons (nodes) and neuronal connections (weights ). A general methodology for function approximation
It may either be used to gain an understanding of biological neural networks, or for solving artificial intelligence problems
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Comment List

  • ProgrammingKnowledge
    January 9, 2021

    Well explained! I'd suggest zooming in a bit, I can't see XD. I'll have to watch it on my Desktop as well! 🙂

  • ProgrammingKnowledge
    January 9, 2021

    Hi Make a video on exiv2 compile and build for windows. Thanks in advance

  • ProgrammingKnowledge
    January 9, 2021

    Can you provide data.csv? i can't make the program run.
    Getting this error:

    ValueError: 'c' argument has 5 elements, which is not acceptable for use with 'x' with size 5, 'y' with size 5.

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