Description
Chapter 1- Perceptrons
- Introduction to Perceptrons
- Working of a Perceptron
- Program to understand the working of a Perceptron
Chapter 2: Neural Networks
- Introduction to Neural Networks
- Types of Neural Networks
- How each neural network works
- Program to understand the working of Neural Networks
Chapter 3: Project 1- DJ Neuron
- About the Project: Creating Music Using Neural Networks
- Requirements
- Explanation of concepts used
- Architecture of the Neural Network
- Source code with line by line instructions
Chapter 4: Project 2- Artistic Neurons
- About the Project: Adding colour to black and white images
- Requirements
- Explanation of concepts used
- Architecture of the Neural Network
- Source code with line by line instructions
Chapter 5: Project 3- Go HD
- About the Project: Restoration of images for better quality
- Requirements
- Explanation of concepts used
- Architecture of the Neural Network
- Source code with line by line instructions
Chapter 6: Project 4- Voice Experiments
- About the Project: Voice Manipulation
- Requirements
- Explanation of concepts used
- Architecture of the Neural Network
- Source code with line by line instructions
Chapter 7: Project 5- Imposters
- About the Project: Fake Image Recognition
- Requirements
- Explanation of concepts used
- Architecture of the Neural Network
- Source code with line by line instructions
Chapter 8: Project 6 - Gaming is Fun
- About the Project: MI-agent training using Unity. Learn to create Artificially Intelligent Characters.
Requirements
Explanation of concepts used
Architecture of the Neural Network
Source code with line by line instructions
Author: Vinita Silaparasetty
Publisher: Apress
Published: 07/25/2020
Pages: 421
Binding Type: Paperback
Weight: 1.37lbs
Size: 9.21h x 6.14w x 0.91d
ISBN13: 9781484258019
ISBN10: 1484258010
BISAC Categories:
- Computers | Artificial Intelligence | General
About the Author
Vinita Silaparasetty is a Data Scientist at Trendwise Analytics. Deep Learning is a topic she's passionate about, and she has experience working on deep learning projects and experimenting with neural networks. She aspires to share her love for deep learning with beginners and make it simple and easy to understand, so as to ignite a similar passion in them.