https://github.com/theroyakash/shallow_neural_network

Design of an one hidden layer neural network using numpy only,
https://github.com/theroyakash/shallow_neural_network

neural-networks numpy shallow-neural-network

Last synced: 2 months ago
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Design of an one hidden layer neural network using numpy only,

• Host: GitHub
• URL: https://github.com/theroyakash/shallow_neural_network
• Owner: theroyakash
• License: gpl-3.0
• Created: 2020-01-13T15:38:26.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-01-13T17:17:51.000Z (over 6 years ago)
• Last Synced: 2025-05-19T14:17:18.489Z (about 1 year ago)
• Topics: neural-networks, numpy, shallow-neural-network
• Language: Python
• Size: 24.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Design of an one hidden layer neural network using numpy

Design of an one hidden layer shallow neural network using numpy only, X as input Matrix, Y = Output  Vectorized over entire training set,

## Design your dataset like this:

1. X -- input data of shape (number of features, number of examples)

2. Y -- "true" labels vector of shape (1, number of examples)