This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep ...
This also means not covering some topics, even topics covered by “everyone else” like DSP theory or modeling math.This book was designed to teach you step-by-step how to bring modern deep learning methods to your computer vision projects....
This also means not covering some topics, even topics covered by “everyone else” like DSP theory or modeling math.This book was designed to teach you step-by-step how to bring modern deep learning methods to your computer vision projects....
Advanced Methods and Deep Learning in Computer Visionpresents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5–10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include...
Understand and apply transfer learning Understand and use state-of-the-art convolutional neural nets such as VGG, ResNet and Inception Understand and use object detection algorithms like SSD Understand and apply neural style transfer Understand state-of-the-art computer vision topics ...
Clear writing, interesting topics, and very practical. Outstanding book, would really recommend it to everyone with interest in Computer Vision and Deep Learning! Quick paced, you have to read it closely, every sentence gives new information....
Deep learning it is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using multiple processing layers, with complex structures or otherwise, composed of multiple non-linear transformations. ...
deep learning principles of a specific topic,introduces reviews of up-to-date techniques,and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on...
Learn how deep learning works and how to use deep learning to design smart systems in a variety of applications. Resources include videos, examples, and documentation.
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns. Here are 4,731 public repositories matching this topic... Language: All Sort: Most stars deepfakes ...