Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras
by: Rajalingappaa Shanmugamani
ISBN-10: 1788295625
ISBN-13: 9781788295628
Publication Date 出版日期: 2018-01-23
Print Length 页数: 310
Publisher finelybook 出版社: Packt
Book Description
By finelybook
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.
Contents
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
What You Will Learn
Set up an environment for deep learning with Python,Tensorflow,and Keras
Define and train a model for image and video classification
Use features from a pre-trained Convolutional Neural Network model for image retrieval
Understand and implement object detection using the real-world Pedestrian Detection scenario
Learn about various problems in image captioning and how to overcome them by training images and text together
Implement similarity matching and train a model for face recognition
Understand the concept of generative models and use them for image generation
Deploy your deep learning models and optimize them for high performance
Authors
Rajalingappaa Shanmugamani
Rajalingappaa Shanmugamani is a deep learning lead at SAP,Singapore. Previously,he worked and consulted at various start-ups for developing computer vision products. He has a masters from IIT Madras,where his thesis was based on applications of computer vision in manufacturing. He has published articles in peer-reviewed journals and conferences and applied for a few patents in ML. In his spare time,he teaches programming and machine learning to school students and engineers.
