Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will lead new programmers through the basics into developing practical deep learning applications.
Deep learning is quickly integrating itself into the technology landscape. Its applications range from applicable data science to deep fakes and so much more. It is crucial for aspiring data scientists or those who want to enter the field of AI to understand deep learning concepts.
The best way to learn is by doing. You''ll develop a working knowledge of not only TensorFlow, but also related technologies such as Python and Keras. You''ll also work with Neural Networks and other deep learning concepts. By the end of the book, you''ll have a collection of unique projects that you can add to your GitHub profiles and expand on for professional application.
Table of Contents
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
