In this section, we will be using Keras with a TensorFlow 2.0 backend to perform our deep learning operations.
We will start with a dataset that contains details regarding the technical specifications of cars. This dataset can be downloaded from the UCI Machine Learning Repository. The data we will be working with in this chapter isn't images. Right now, our focus is on how to use Keras for general machine learning. Once we've learned about CNNs, we can expand Keras so that we can feed image data into the network. This section focuses on learning the basics of building a neural network with Keras.
In the next section, we will concentrate on how to use Keras and its general syntax.
