Mastering Computer Vision with TensorFlow 2.x

Released on by Krishnendu Kar
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  • Mastering Computer Vision with TensorFlow 2.x Book Detail

  • Author : Krishnendu Kar
  • Release Date : 2020-05-15
  • Publisher : Packt Publishing Ltd
  • Genre : Computers
  • Pages : 419
  • ISBN 13 : 1838826939
  • File Size : 2,2 MB
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Mastering Computer Vision with TensorFlow 2.x by Krishnendu Kar PDF Summary

Book Description: Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming language Key FeaturesGain a fundamental understanding of advanced computer vision and neural network models in use todayCover tasks such as low-level vision, image classification, and object detectionDevelop deep learning models on cloud platforms and optimize them using TensorFlow Lite and the OpenVINO toolkitBook Description Computer vision allows machines to gain human-level understanding to visualize, process, and analyze images and videos. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and analysis. You'll start with the key principles of computer vision and deep learning to build a solid foundation, before covering neural network architectures and understanding how they work rather than using them as a black box. Next, you'll explore architectures such as VGG, ResNet, Inception, R-CNN, SSD, YOLO, and MobileNet. As you advance, you'll learn to use visual search methods using transfer learning. You'll also cover advanced computer vision concepts such as semantic segmentation, image inpainting with GAN's, object tracking, video segmentation, and action recognition. Later, the book focuses on how machine learning and deep learning concepts can be used to perform tasks such as edge detection and face recognition. You'll then discover how to develop powerful neural network models on your PC and on various cloud platforms. Finally, you'll learn to perform model optimization methods to deploy models on edge devices for real-time inference. By the end of this book, you'll have a solid understanding of computer vision and be able to confidently develop models to automate tasks. What you will learnExplore methods of feature extraction and image retrieval and visualize different layers of the neural network modelUse TensorFlow for various visual search methods for real-world scenariosBuild neural networks or adjust parameters to optimize the performance of modelsUnderstand TensorFlow DeepLab to perform semantic segmentation on images and DCGAN for image inpaintingEvaluate your model and optimize and integrate it into your application to operate at scaleGet up to speed with techniques for performing manual and automated image annotationWho this book is for This book is for computer vision professionals, image processing professionals, machine learning engineers and AI developers who have some knowledge of machine learning and deep learning and want to build expert-level computer vision applications. In addition to familiarity with TensorFlow, Python knowledge will be required to get started with this book.

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Mastering TensorFlow 2.x

Mastering TensorFlow 2.x

File Size : 96,96 MB
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Work with TensorFlow and Keras for real performance of deep learning KEY FEATURES ● Combines theory and implementation with in-detail use-cases. ● Coverage

Mastering TensorFlow 1.x

Mastering TensorFlow 1.x

File Size : 95,95 MB
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Build, scale, and deploy deep neural network models using the star libraries in Python Key Features Delve into advanced machine learning and deep learning use c

Hands-on Computer Vision with TensorFlow 2

Hands-on Computer Vision with TensorFlow 2

File Size : 10,10 MB
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Computer vision is achieving a new frontier of capabilities in fields like health, automobile or robotics. This book explores TensorFlow 2, Google's open-source