Bike Sharing Neural Network

This project builds and trains a neural network that predicts the number of bike users on a given date.

Getting Started

1. Install miniconda (link here).
2. Use miniconda to install the required Anaconda packages from requirements.txt.
3. Install Tensorflow 1.0 for Python (link here).
4. Run Jupyter Notebook and open Your_first_neural_network.ipynb.

Project Overview

In this project, bike share data from the UCI machine learning repository is loaded and prepared for training, validating, and testing a neural network.

The network with its forward and backward passes is built from scratch using just the Numpy library.