Posted Sunday at 01:20 PM5 days Neural Networks in Unity Neural Networks in Unity C# Programming for Windows 10 by Abhishek Nandy, Manisha Biswas Publisher Apress Published Date 2018-07-15 Page Count 158 Categories Computers / Programming / Games, Computers / Programming / Microsoft, Computers / Information Technology Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 1484236726 Learn the core concepts of neural networks and discover the different types of neural network, using Unity as your platform. In this book you will start by exploring back propagation and unsupervised neural networks with Unity and C#. You’ll then move onto activation functions, such as sigmoid functions, step functions, and so on. The author also explains all the variations of neural networks such as feed forward, recurrent, and radial.Once you’ve gained the basics, you’ll start programming Unity with C#. In this section the author discusses constructing neural networks for unsupervised learning, representing a neural network in terms of data structures in C#, and replicating a neural network in Unity as a simulation. Finally, you’ll define back propagation with Unity C#, before compiling your project.What You'll LearnDiscover the concepts behind neural networksWork with Unity and C# See the difference between fully connected and convolutional neural networksMaster neural network processing for Windows 10 UWPWho This Book Is ForGaming professionals, machine learning and deep learning enthusiasts. More Information
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