Titlebook: Neural Networks in Unity; C# Programming for W Abhishek Nandy,Manisha Biswas Book 2018 Abhishek Nandy, Manisha Biswas 2018 Unity.Artificial

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https://doi.org/10.1007/978-1-4842-3673-4Unity; Artificial intelligence; Neural Networks; Back Propogation; C#; Conventional Neural Networks

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Abhishek Nandy,Manisha BiswasA great way to learn neural networks for the beginner.Covers back propagation and unsupervised neural networks with Unity C#.Introduces different types of neural networks in Unity

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Neural Network Basics,The evolvement of artificial intelligence, machine learning, and deep learning has made so many people start asking questions about what exactly the process of machine learning actually is?

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Unity ML-Agents,In this chapter, we will study how Unity ML-Agents work. First, we will start with a brief description of Unity IDE and then we will look at this feature from Unity. We will check on some demos and then create one simulation of our own. We will see how the agents are trained using Python.

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Data Visualization in Unity,In this final chapter, we will touch base on how data visualization is implemented in Unity. We conclude the book by visualizing CSV (comma-separated values) data for a good look and feel.

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