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This project is build up completely with numpy. It implements basic neural network concepts including backpropagation, hidden layers, activation function and gradient descent.

Python 100.00%
data-plots hidden-layers prediction neural-network backpropagation

bike-sharing-prediction-with-neural-network's Introduction

Bike-Sharing-Predictions

This project is build up completely with numpy. It implements basic neural network concepts including backpropagation, hidden layers, activation function and gradient descent.

To run the project, open 'run_me.py' and set the epoch, learning rate and number of hidden layers.

The terminal must show similar output:

Terminal screen

Graph-plots

The Initial raw data plot:

Initial Data plot

The loss plot:

Loss plot

The Prediction:

Prediction

Author: Satyaki Sanyal

This project is strictly for educational purposes only.

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