/backprop-network

From scratch implementation of a multi-layer perceptron network with backpropogation

Primary LanguageJupyter Notebook

Classifying the Wine Quality Dataset using Feed-Forward NN with Backpropogation

Instructions

For TAs, please open `A2.html` in any browser window. The code for this project is contained in `network.py`. The executable file is `A2.ipynb`, which requires Jupyter Notebook to be installed in order to run.

Required Installations

  • scikit-learn
  • NumPy
  • Jupyter Notebook
  • Pandas
  • Seaborn