There are many open-source libraries that allow the creation of deep neural nets in Python, without having to explicitly write the code from scratch. In this book, we'll use three of the most popular: - TensorFlow, Keras, and PyTorch. They all share some common features, as follows:
- The basic unit for data storage is the tensor. Consider the tensor as a generalization of a matrix to higher dimensions. Mathematically, the definition of a tensor is more complex, but in the context of deep learning libraries, they are multi-dimensional arrays of base values. A tensor is similar to a NumPy array and is made up of the following:
- A basic data type of tensor elements. These can vary between libraries, but typically include 16-, 32-, and 64-bit float and 8-, 16-, 32-, and 64-bit integers.
- An arbitrary number of axes (also known as the rank...
