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Deep Learning with Python: The Crash Course for Beginners to Learn the Basics of Deep Learning with Python Using TensorFlow,

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Daniel Géron | 2019 | ISBN: 1086549953, ASIN: B07W1X7PXT | 117 pages | PDF | 2.1 MB

Do you want to learn how to write your own codes and programming and get your computer set up to learn just like humans do? Do you want to learn how to write out codes in deep learning—without having to spend years going to school to learn to code and how all this works? Do you know a bit of Python coding and want to learn more about how this deep learning works?
You will learn
• What deep learning is, how it is different from machine learning, and why Python is such a beneficial language to use with the deep learning algorithms;
• The basics of the three main Python languages that will help you get the work done—including TensorFlow, Keras, and PyTorch;
• How to install the three Python libraries to help you get started;
• A closer look at neural networks, what they are, why they are important, and some of the mathematics of making them work;
• The basics you need to know about TensorFlow and some of the deep learning you can do with this library;
• The basics of the Keras library and some of the deep learning you can do with this library;
• A look at the PyTorch library, how it is different from the other two, and the basics of deep learning with this library;
• And so much more!

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