Elgendy M Deep Learning for Vision Systems 2019 torrent

Textbook in PDF format

The book teaches you to apply deep learning techniques to solve real-world computer vision problems. In his straightforward and accessible style, DL and CV expert Mohamed Elgendy introduces you to the concept of visual intuition—how a machine learns to understand what it sees. Then you’ll explore the DL algorithms used in different CV applications. You’ll drill down into the different parts of the CV interpreting system, or pipeline. Using Python, OpenCV, Keras, Tensorflow, and Amazon’s MxNet, you’ll discover advanced DL techniques for solving CV problems.
Applications of focus include image classification, segmentation, captioning, and generation as well as face recognition and analysis. You’ll also cover the most important deep learning architectures including artificial neural networks (ANNs), convolutional networks (CNNs), and recurrent networks (RNNs), knowledge that you can apply to related deep learning disciplines like natural language processing and voice user interface. Real-life, scalable projects from Amazon, Google, anddrive it all home. With this invaluable book, you’ll gain the essential skills for building amazing end-to-end CV projects that solve real-world problems