# Deep-Learning-predicting-breast-cancer-tumor-malignancy

**Repository Path**: wlw_swun/Deep-Learning-predicting-breast-cancer-tumor-malignancy

## Basic Information

- **Project Name**: Deep-Learning-predicting-breast-cancer-tumor-malignancy
- **Description**: Predicting Cancer Malignancy with a 2 layer neural network coded from scratch in Python.
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-03-23
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Predicting Cancer Malignancy with a 2 layer neural network coded from scratch in Python.

![The Loss Landscape](https://github.com/javismiles/Deep-Learning-predicting-breast-cancer-tumor-malignancy/blob/master/images/loss-landscape-deep-learning-animation-cover2.gif?raw=true)

**Access the code with this link<br>
<a href="https://github.com/javismiles/Deep-Learning-predicting-breast-cancer-tumor-malignancy/blob/master/nn-2l-raw.ipynb" target="_blank">Python Jupyter Notebook</a>**

**This notebook holds the Python code connected to this 3 part article:**

**<a href="https://towardsdatascience.com/the-keys-of-deep-learning-in-100-lines-of-code-907398c76504" target="_blank">Part 1</a> | <a href="https://towardsdatascience.com/coding-a-2-layer-neural-network-from-scratch-in-python-4dd022d19fd2" target="_blank">Part 2</a> | <a href="https://towardsdatascience.com/predict-malignancy-in-breast-cancer-tumors-with-your-own-neural-network-and-the-wisconsin-dataset-76271a05e941" target="_blank">Part 3</a>**<br>

**With this code and the associated articles, you are going to:**
- Create a neural network from scratch in Python. Train it using the gradient descent algorithm.
- Apply that basic network to The Wisconsin Cancer Data-set. Predict if a tumor is benign or malignant, based on 9 different features.
- Explore deeply how back-propagation and gradient descent work.
- Review the basics and explore advanced concepts. 

**The data comes from The Wisconsin Cancer Data-set.**<br>
This data was gathered by the University of Wisconsin Hospitals, Madison and by Dr. William H. Wolberg.<br>
**By request of the owners of the data**: we mention one of the studies linked to the data-set: O. L. Mangasarian and W. H. Wolberg: "Cancer diagnosis via linear programming", SIAM News, Volume 23, Number 5, September 1990, pp 1 & 18.