https://github.com/prateekiiest/building-artificial-neural-networks

Artificial Neural Network Algorithms
https://github.com/prateekiiest/building-artificial-neural-networks

artificial-neural-networks convolutional-neural-networks machine-learning-algorithms mnist-dataset multi-layer-perceptron neural-networks perceptron-learning-algorithm radial-basis-function recurrent-neural-networks single-layer-perceptron

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Artificial Neural Network Algorithms

• Host: GitHub
• URL: https://github.com/prateekiiest/building-artificial-neural-networks
• Owner: prateekiiest
• Created: 2018-09-20T12:51:56.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2021-12-05T06:27:24.000Z (about 3 years ago)
• Last Synced: 2024-11-01T19:02:48.743Z (2 months ago)
• Topics: artificial-neural-networks, convolutional-neural-networks, machine-learning-algorithms, mnist-dataset, multi-layer-perceptron, neural-networks, perceptron-learning-algorithm, radial-basis-function, recurrent-neural-networks, single-layer-perceptron
• Language: Jupyter Notebook
• Homepage:
• Size: 1.58 MB
• Stars: 2
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Building-Artificial-Neural-Networks

This project currently implements the fundamentals of Artificial Neural Networks along with its applications in specific Domains.

As part of Course project

## Categories Implemented

The categories implemented till now are: 

 - **Single Layer Perceptron**

   - For House Votes Prediction

 - **Multi Layer Perceptron**

   - For House Votes Prediction

 - **Radial Basis Function**

   - For MNIST Data Classification

 - **Recurrent Neural Networks**

   - Amazon Reviews Sentiment Prediction

 - **Convolution Neural Networks**

   - Flower Recognition 

## Modules Used

- **Tensorflow**

- **Keras**

- **Seaborn, Matplotlib**