Book description
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 Learn
- Discover 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 This Book Is For
Gaming professionals, machine learning and deep learning enthusiasts.
Product information
- Title: Neural Networks in Unity: C# Programming for Windows 10
- Author(s):
- Release date: July 2018
- Publisher(s): Apress
- ISBN: 9781484236734
You might also like
book
Building Single Page Applications in .NET Core 3: Jumpstart Coding Using Blazor and C#
Attention .NET developers who no longer want to use JavaScript for your front end. Quickly and …
book
Hands-On Neural Network Programming with C#
Create and unleash the power of neural networks by implementing C# and .Net code Key Features …
book
Deep Reinforcement Learning in Unity: With Unity ML Toolkit
Gain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity. This …
article
Use Github Copilot for Prompt Engineering
Using GitHub Copilot can feel like magic. The tool automatically fills out entire blocks of code--but …
