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Více informací o knize Neural Networks in Unity

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 92 bodů

Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Neural Networks in Unity
• Autor: Abhishek Nandy, Manisha Biswas
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 158
• EAN: 9781484236727
• ISBN: 1484236726
• ID: 19282310
• Nakladatelství: APress
• Hmotnost: 2701 g
• Rozměry: 235 × 155 × 11 mm
• Datum vydání: 15. July 2018

Oblíbené z jiného soudku

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