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NEURAL NETWORKS IN UNITY IBD

APRESS
07 / 2018
9781484236727
Inglés

Sinopse

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#. YouâÇÖll 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 youâÇÖve gained the basics, youâÇÖll 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, youâÇÖll define back propagation with Unity C#, before compiling your project.What YouâÇÖll LearnDiscover the concepts behind neural networksWork with Unity and C#áSee 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.

PVP
39,79