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Neural Networks in Unity : C# Programming for Windows 10 /
"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 si...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
California :
Apress,
[2018]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Intro; Table of Contents; About the Authors; About the Technical Reviewer; Introduction; Chapter 1: Neural Network Basics; Introducing Neural Networks; Digging Deeper into Neural Networks; Perceptron; Activation Function and Its Different Types; Identity Function; Binary Step Function; Logistic or Sigmoid; Tan H Function; Arctan Function; Rectified Linear Unit; Leaky ReLU; Softmax Function; Biases and Weights; Neural Network from Scratch; Backpropagation; Summary; Chapter 2: Unity ML-Agents; Unity IDE; Getting Started with Machine Learning Agents; Let's Start with TensorFlow
- Understanding AnacondaWhat Is the NVDIA CUDA Toolkit?; GPU-Accelerated TensorFlow; Building aProject inUnity; Internal Operations forMachine Learning; Training Anaconda inPython Mode; Working with Jupyter Notebook; Proximity Policy Optimization; Summary; Chapter 3: Machine Learning Agents and Neural Network inUnity; Extending the Unity ML-Agents with Further Examples; Crawler Project; Testing the Simulation; Neural Network with Unity C#; Creating DataStructures; Experimenting withtheSpider Asset; Summary; Chapter 4: Backpropagation inUnity C#; Going Further into Backpropagation
- Backpropogation inUnity C#Constructing Data Structures; Feed Forwarding and Initializing Weights; Testing of Backpropagation Neural Network; Summary; Chapter 5: Data Visualization inUnity; Machine Learning Data Visualization inUnity; Data Parsing; Working with Datasets; Another Example; Summary; Index