Deep Learning in Visual Computing and Signal Processing

ISBN-13: 9781774638705 / Angielski / Twarda / 2022 / 270 str.

Opis

Covers the fundamentals and advanced topics in designing and deploying techniques using deep architectures and their application in visual computing and signal processing. It discusses deep learning in neural networks and for object recognition and detection models and the specific applications in visual and signal processing.

Spis treści

1. Deep Learning Architecture and Framework  2. Deep Learning in Neural Networks: An Overview  3. Deep Learning: Current Trends and Techniques  4. TensorFlow: Machine Learning Using Heterogeneous Edge on Distributed Systems  5. Introduction to Biorobotics: Part of Biomedical Signal Processing  6. Deep Learning-Based Object Recognition and Detection Model  7. Deep Learning: A Pathway for Automated Brain Tumor Segmentation in MRI Images  8. Recurrent Neural Networks and Their Application in Seizure Classification  9. Brain Tumor Classification Using Convolutional Neural Network  10. A Proactive Improvement Toward Digital Forensic Investigation Based on Deep Learning