https://github.com/singhmnprt01/custom-deep-neural-network-package

A custom deep neural network package that gives the liberty to design your deep neural network using only NumPy
https://github.com/singhmnprt01/custom-deep-neural-network-package

customized-deep-neural-network deep-learning-framework maths-behind-neural-network numpy

Last synced: 8 days ago
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A custom deep neural network package that gives the liberty to design your deep neural network using only NumPy

• Host: GitHub
• URL: https://github.com/singhmnprt01/custom-deep-neural-network-package
• Owner: singhmnprt01
• Created: 2020-04-15T11:48:50.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-04-05T18:09:32.000Z (over 3 years ago)
• Last Synced: 2024-10-12T00:22:18.351Z (about 1 month ago)
• Topics: customized-deep-neural-network, deep-learning-framework, maths-behind-neural-network, numpy
• Language: Jupyter Notebook
• Homepage:
• Size: 384 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Customdnn Package

### A custom deep neural network package that gives the liberty to design your deep neural network using only NumPy. The user needs to feed input data  and  hyparameters to design a custom Neural Network. The package gives a whole bunch of parameter options to build and train Neural Network as per the requirement, predict and evaluate the Network arch. The beauty of the package is that the whole backend processing of the network is executed using Numpy only, and not any of the modern APIs. This gives users a new window to understand the nitty gritty of neural networks, and the mathematics behind them.

#### Fore more detail : https://pypi.org/project/customdnn/

#### Attached "customdnn_running.ipynb" is the notebook on how to use customdnn package