Neural Networks in Unity: C# Programming for Windows 10

Chapter 1:  Core Concepts of Neural NetworksChapter Goal: This chapter will walk through about neural network,will give an overview of how neural network works.No of pages 30-40Sub -Topics1. What is neural network2. Perceptron3. Single layer neural network vs multilayer perceptrons4. Activation Function and its different types5. What is Bias1. The complete neural network flow
Chapter 2:  Different types of Neural NetworkChapter Goal: In this chapter we will study about different types of neural network and then discuss the difference between Fully connected vs convolution neural network.No of pages: 40Sub - Topics 1. Feed forward neural network2. Radial Basis neural network3. Deep Feed Forward 4. Recurrent neural networks5. Long-Short term memory6. Auto encoder7. Hopfield Network8. Boltzmann Machine9. Restricted Boltzmann Machine10. Support Vector Machines11. What is Chain Rule?12. How to traverse a neural network13. Fully Connected versus CNNs
Chapter 3: Neural Network with UnityChapter Goal: No of pages: 50Sub - Topics:  1. Understanding the structure of neural network2. Creating a data structure of neural network in C#3. Creating a new project in Unity for neural network4. Getting the entire flow in Unity and finalizing the project5.  Using the Spider Asset animation for neural network6 Compiling the entire project
Chapter 4: Back propagation using UnityChapter Goal: No of pages: 40Sub - Topics: 1. What is Back Propagation?2. Mathematics required for back propagation3. Getting started with Unity4. Back Propagation using Unity C#5. Completing the project
Chapter 5: Neural Network with Processing and Windows 10 UWPChapter Goal: No of pages: 60Sub - Topics: 1. Getting Started with processing language2. Creating neural networks with processing3. Different simulations of neural network with processing4. Introduction to Windows 10 UWP5. Developing Neural network with processing for Windows 10 uwp.6. Making the app ready to be published in Windows Store