This repository contains a neural network implementation designed to detect breast cancer using machine learning techniques. The neural network model is trained on a dataset specifically curated for breast cancer detection, which includes a variety of features and corresponding labels indicating the presence or absence of breast cancer.

The neural network model in this repository aims to assist medical professionals in detecting breast cancer accurately and efficiently, potentially aiding in early diagnosis and improving patient outcomes. It serves as a valuable resource for researchers, data scientists, and developers interested in the field of medical image analysis and machine learning for healthcare applications.