Chapter 16: Deep Learning and Neural Networks

Focuses on advanced neural network architectures and their applications in signal processing.

Chapter Sections

Deep Learning Basics

• Introduction to Deep Neural Networks
• Training Deep Networks

Convolutional Neural Networks (CNNs)

• Architecture Details
• Application in Image Processing

Recurrent Neural Networks (RNNs)

• Sequence Modeling
• Applications in Speech Recognition

Generative Models

• Autoencoders
• Generative Adversarial Networks (GANs)