Tag: Baoxin

Convolutional Neural Networks in Visual Computing: A Concise Guide by Baoxin Li

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In the world of visual computing, Convolutional Neural Networks (CNNs) have become a powerful tool for analyzing and processing images. In his book “Convolutional Neural Networks in Visual Computing: A Concise Guide,” author Baoxin Li provides a comprehensive overview of CNNs and their applications in the field of computer vision.

Li begins by introducing the fundamental concepts of CNNs, including convolutional layers, pooling layers, and fully connected layers. He explains how these layers work together to extract features from images and make predictions based on those features. Li also discusses the training process for CNNs, including the use of backpropagation and gradient descent to optimize the network’s parameters.

One of the key strengths of CNNs is their ability to learn hierarchical representations of images, from low-level features such as edges and textures to high-level concepts such as objects and scenes. Li explores how CNNs can be used for tasks such as image classification, object detection, and image segmentation, and provides examples of real-world applications in fields such as healthcare, autonomous driving, and security.

Throughout the book, Li emphasizes the importance of understanding the underlying principles of CNNs in order to effectively apply them to new problems and datasets. He also highlights the latest research developments in the field, such as the use of transfer learning and generative adversarial networks to improve the performance of CNNs.

Whether you are new to CNNs or looking to deepen your understanding of these powerful tools, “Convolutional Neural Networks in Visual Computing: A Concise Guide” is a valuable resource for researchers, practitioners, and students in the field of computer vision. Li’s clear and concise explanations, along with practical examples and exercises, make this book an essential read for anyone interested in harnessing the power of CNNs for visual computing tasks.
#Convolutional #Neural #Networks #Visual #Computing #Concise #Guide #Baoxin

Convolutional Neural Networks in Visual Computing: A Concise Guide by Baoxin Li

Price : 169.15

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Convolutional Neural Networks in Visual Computing: A Concise Guide by Baoxin Li

In the world of visual computing, Convolutional Neural Networks (CNNs) have revolutionized the way we analyze and process images. With their ability to learn and extract features from images, CNNs have become an essential tool in tasks such as object recognition, image classification, and even medical image analysis.

In his concise guide, Baoxin Li provides an in-depth look at CNNs and their applications in visual computing. Li breaks down the complex concepts behind CNNs into simple and easy-to-understand explanations, making it accessible to both beginners and experienced practitioners.

From the basics of CNN architecture to advanced techniques like transfer learning and data augmentation, Li covers all aspects of CNNs in visual computing. He also discusses the latest research developments and trends in the field, keeping readers up-to-date on the cutting-edge advancements in CNN technology.

Whether you’re a student looking to learn more about CNNs or a professional seeking to enhance your knowledge in visual computing, Baoxin Li’s guide is a must-read resource. With its clear explanations and practical examples, this book is sure to help you master the fundamentals of CNNs and apply them to real-world problems in visual computing.
#Convolutional #Neural #Networks #Visual #Computing #Concise #Guide #Baoxin