Applied Artificial Intelligence: Neural networks and deep learning with Python and TensorFlow

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Posted on 2020-02-12, by books_lover.

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Applied Artificial Intelligence: Neural networks and deep learning with Python and TensorFlow What are the secrets of modern Artificial Intelligence? How does AI beat humans in various domains, such as playing Go or predicting the future? How can I implement my own Artificial Intelligence and push it into production with Google TensorFlow? This book is about uncovering the basics of Artificial Neural Networks (ANN) and deep learning and how to implement AI models for production systems by using TensorFlow. The first part of this book explains how to implement your own neural networks in Python and to apply this technique to any given problem. In step-by-step examples, the reader learns how to implement neural networks in Python and to solve non-linear problems. The book explains how neural networks are built, trained with sample data sets and how these networks are capable of solving complex problems. The simplicity of the tutorial as well as the simple syntax of the Python language quickly enables the reader to transfer that knowledge and algorithms to any other programmi
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