Author: Abhishek Nandy, Manisha Biswas Full Title: Neural Networks In Unity: C# Programming For Windows 10 Publisher: Apress; 1st ed. edition (July 15, 2018) Year: 2018 ISBN-13: 9781484236734 (978-1-4842-3673-4), 9781484236727 (978-1-4842-3672-7) ISBN-10: 1484236734, 1484236726 Pages: 158 Language: English Genre: Educational: Game Development File type: PDF (True), Code Files Quality: 10/10 Price: 29.95 € 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. 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 Features: ✓ A 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 Who This Book Is For: Gaming professionals, machine learning and deep learning enthusiasts. ------------- Our members see more. Join us!