Neural Networks in Unity : C# Programming for Windows 10 Chapter 1: Core Concepts of Neural Networks Chapter 2: Different types of Neural Network Chapter 3: Neural Network with Unity Chapter 4: Back propagation using Unity Chapter 5: Neural Network with Processing and Windows 10 UWP 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. You will: 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