Neural Networks in Windows Unity: C# Programming for 10 Torrent
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Description
Learn the core concepts of neural networks and discover different types of neural networks using Unity as a platform. In this book, you’ll start by exploring backpropagation and unsupervised neural networks using Unity and C#. You then move on to activation functions such as sigmoid functions, step functions, and so on. The author also explains all variations of neural networks such as feed forward, recurrent and radial.
Once you’ve learned the basics, you’ll start programming Unity in C#. In this section, the author discusses building 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 define the backpropagation using Unity C# before compiling the project.
What you learn
Learn the concepts behind neural networks
Work with Unity and C#
See the difference between fully connected and convolutional neural networks
Master Neural Network Processing for Windows 10 UWP
Who is this book for?
Game industry professionals, machine learning and deep learning enthusiasts
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