rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Neural Networks in Unity
    sub title: C# Programming for Windows 10
  name:
    name part: Nandy, Abhishek.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Biswas, Manisha.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 158 p. 107 illus. online resource.
  abstract: 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.
  table of contents: 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.
  note: by Abhishek Nandy, Manisha Biswas.
  subject:
    topic: Computer games-Programming
  subject:
    topic: Microsoft software
  subject:
    topic: Microsoft .NET Framework
  subject:
    topic: Game Development
  subject:
    topic: Microsoft and .NET
  classification: QA76.76.C672
  classification: 794.815
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781484236734
  identifier: https://doi.org/10.1007/978-1-4842-3673-4
  record info:
    record creation date: 180714
    record change date: 20191004021958.0
    record identifier: 978-1-4842-3673-4