Keras Deep Learning Cookbook

How to do it...

In this recipe, we will develop a modeling pipeline for classification which tries to classify cancer type. The modeling pipelines use the Adam model written using the Keras functional API. The pipelines also use various data manipulation libraries. We will be using Keras; more specifically, we will be using sklearn, numpy, and pandas to create our model.

Import the following libraries for use. pandas is a data analysis library in Python. The sklearn is a machine learning library that is famous for data mining and analysis. Keras is a neural network API that will help us create the actual neural network:

import pandas as pdfrom sklearn.preprocessing import LabelEncoder, StandardScalerfrom sklearn.model_selection import train_test_split ...