Hands-On Automated Machine Learning

A feed-forward neural network using Keras

Keras is a DL library, originally built on Python, that runs over TensorFlow or Theano. It was developed to make DL implementations faster:

1. We call install keras using the following command in your operation system's Command Prompt:

pip install keras

2. We start by importing the numpy and pandas library for data manipulation. Also, we set a seed that allows us to reproduce the script's results:

import numpy as npimport pandas as pdnumpy.random.seed(8)

3. Next, the sequential model and dense layers are imported from keras.models and keras.layers respectively. Keras models are defined as a sequence of layers. The sequential construct allows the user to configure and add layers. The dense layer allows ...