January 2019
Intermediate to advanced
386 pages
11h 13m
English
book
Python Deep Learning - Second Edition
by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
Content preview from Python Deep Learning - Second Edition
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Introducing popular open source libraries
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, ...
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