Advanced Applied Deep Learning Convolutional Neural Networks and Object Detection /

• Main Author: Michelucci, Umberto (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Edition: 1st ed. 2019.
• Subjects: Artificial intelligence.; Python (Computer program language).; Open source software.; Computer programming.; Artificial Intelligence.; Python.; Open Source.

Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks. In Advanced Applied Deep Learning, you will study advanced topics on CNN and object detection usi...

Table of Contents:

• Chapter 1: Introduction and Development Environment Setup
• Chapter 2: TensorFlow: advanced topics
• Chapter 3: Fundamentals of Convolutional Neural Networks
• Chapter 4: Advanced CNNs and Transfer Learning
• Chapter 5: Cost functions and style transfer
• Chapter 6: Object classification - an introduction
• Chapter 7: Object localization - an implementation in Python
• Chapter 8: Histology Tissue Classification.