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- Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
E-book details
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Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
Ebook
Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous applications in the areas of robotics, automation, and so on. This book will also show you, with practical examples, how to develop Computer Vision applications by leveraging the power of deep learning.
In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation.
In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation.
- 1. Getting Started
- 2. Image Classification
- 3. Image Retrieval
- 4. Object Detection
- 5. Semantic Segmentation
- 6. Similarity Learning
- 7. Image Captioning
- 8. Generative models
- 9. Video Classification
- 10. Deployment
- Title: Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
- Author: Rajalingappaa Shanmugamani
- Original title: Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
- ISBN: 9781788293358, 9781788293358
- Date of issue: 2018-01-23
- Format: Ebook
- Item ID: e_14tk
- Publisher: Packt Publishing