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Sinopsis
Chapter 1: Core Concepts of Neural Networks
Chapter Goal: This chapter will walk through about neural network,will give an overview of how neural network works.
No of pages 30-40
Sub -Topics
1. What is neural network
2. Perceptron
3. Single layer neural network vs multilayer perceptrons4. Activation Function and its different types
5. What is Bias
1. The complete neural network flow
Chapter 2: Different types of Neural Network
Chapter 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: 40
Sub - Topics
1. Feed forward neural network
2. Radial Basis neural network
3. Deep Feed Forward
4. Recurrent neural networks
5. Long-Short term memory
6. Auto encoder
7. Hopfield Network
8. Boltzmann Machine
9. Restricted Boltzmann Machine
10. Support Vector Machines
11. What is Chain Rule?
12. How to traverse a neural network
13. Fully Connected versus CNNs
Chapter 3: Neural Network with Unity
Chapter Goal:
No of pages: 50
Sub - Topics:
1. Understanding the structure of neural network
2. Creating a data structure of neural network in C#
3. Creating a new project in Unity for neural network
4. Getting the entire flow in Unity and finalizing the project
5. Using the Spider Asset animation for neural network
6 Compiling the entire project
Chapter 4: Back propagation using Unity
Chapter Goal:
No of pages: 40
Sub - Topics:
1. What is Back Propagation?
2. Mathematics required for back propagation
3. Getting started with Unity
4. Back Propagation using Unity C#
5. Completing the project
Chapter 5: Neural Network with Processing and Windows 10 UWP
Chapter Goal:
No of pages: 60
Sub - Topics:
1. Getting Started with processing language
2. Creating neural networks with processing
3. Different simulations of neural network with processing
4. Introduction to Windows 10 UWP
5. Developing Neural network with processing for Windows 10 uwp.
6. Making the app ready to be published in Windows Store
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