https://github.com/mempirate/simple-neural-network

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.
https://github.com/mempirate/simple-neural-network

deep-learning deep-neural-networks deeplearning neural-network neurons

Last synced: 7 days ago
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Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.

• Host: GitHub
• URL: https://github.com/mempirate/simple-neural-network
• Owner: mempirate
• Created: 2018-03-27T15:29:28.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-08-13T13:05:46.000Z (over 6 years ago)
• Last Synced: 2024-12-07T21:00:58.414Z (18 days ago)
• Topics: deep-learning, deep-neural-networks, deeplearning, neural-network, neurons
• Language: Python
• Homepage:
• Size: 11.7 KB
• Stars: 179
• Watchers: 13
• Forks: 96
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
# Simple Neural Network

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron. A neural network with no hidden layers is called a perceptron. In the training_version.py I train the neural network in the clearest way possible, but it's not really useable. The outputs of the training can be found in outputs.txt .

neural_network.py is an object and can be used by giving in different inputs.

Thanks to Milo Spencer-Harber for this: https://medium.com/technology-invention-and-more/how-to-build-a-simple-neural-network-in-9-lines-of-python-code-cc8f23647ca1

And to Andrew Trask for this: https://iamtrask.github.io/2015/07/12/basic-python-network/

## What does it do?

The neural_net.py tries to predict the output given 3 binary inputs. If the first input is 1, the output should be one. Otherwise the output should be 0.