Keras Deep Learning Cookbook

Getting ready

In this recipe, we develop a modeling pipeline that tries to identify a woman's cervix type based on images with greater accuracy. The modeling pipeline uses a CNN models written using the Keras functional API for image classification. The pipeline also use a various image manipulation libraries.

The data for this recipe can be found at https://www.kaggle.com/c/intel-mobileodt-cervical-cancer-screening. The dataset is part of the challenge to develop an algorithm that accurately identifies a woman's cervix type based on images. Doing so will prevent ineffectual treatments and allow healthcare providers to give a proper referral for cases that require more advanced treatment.

As a first step, clone the GitHub repository at