TensorFlow 2.0 Computer Vision Cookbook

Release on by Jesus Martinez
TensorFlow 2.0 Computer Vision Cookbook

Author: Jesus Martinez

Publisher: Packt Publishing Ltd

ISBN: 9781838820688

Category: Computers

Page: 542

View: 803

Get well versed with state-of-the-art techniques to tailor training processes and boost the performance of computer vision models using machine learning and deep learning techniques Key FeaturesDevelop, train, and use deep learning algorithms for computer vision tasks using TensorFlow 2.xDiscover practical recipes to overcome various challenges faced while building computer vision modelsEnable machines to gain a human level understanding to recognize and analyze digital images and videosBook Description Computer vision is a scientific field that enables machines to identify and process digital images and videos. This book focuses on independent recipes to help you perform various computer vision tasks using TensorFlow. The book begins by taking you through the basics of deep learning for computer vision, along with covering TensorFlow 2.x's key features, such as the Keras and tf.data.Dataset APIs. You'll then learn about the ins and outs of common computer vision tasks, such as image classification, transfer learning, image enhancing and styling, and object detection. The book also covers autoencoders in domains such as inverse image search indexes and image denoising, while offering insights into various architectures used in the recipes, such as convolutional neural networks (CNNs), region-based CNNs (R-CNNs), VGGNet, and You Only Look Once (YOLO). Moving on, you'll discover tips and tricks to solve any problems faced while building various computer vision applications. Finally, you'll delve into more advanced topics such as Generative Adversarial Networks (GANs), video processing, and AutoML, concluding with a section focused on techniques to help you boost the performance of your networks. By the end of this TensorFlow book, you'll be able to confidently tackle a wide range of computer vision problems using TensorFlow 2.x. What you will learnUnderstand how to detect objects using state-of-the-art models such as YOLOv3Use AutoML to predict gender and age from imagesSegment images using different approaches such as FCNs and generative modelsLearn how to improve your network's performance using rank-N accuracy, label smoothing, and test time augmentationEnable machines to recognize people's emotions in videos and real-time streamsAccess and reuse advanced TensorFlow Hub models to perform image classification and object detectionGenerate captions for images using CNNs and RNNsWho this book is for This book is for computer vision developers and engineers, as well as deep learning practitioners looking for go-to solutions to various problems that commonly arise in computer vision. You will discover how to employ modern machine learning (ML) techniques and deep learning architectures to perform a plethora of computer vision tasks. Basic knowledge of Python programming and computer vision is required.
Computers
TensorFlow 2.0 Computer Vision Cookbook
Language: en
Pages: 542

TensorFlow 2.0 Computer Vision Cookbook

Authors: Jesus Martinez
Categories: Computers
Type: BOOK - Published: 2021-02-26 - Publisher: Packt Publishing Ltd

Get well versed with state-of-the-art techniques to tailor training processes and boost the performance of computer vision models using machine learning and deep learning techniques Key FeaturesDevelop, train, and use deep learning algorithms for computer vision tasks using TensorFlow 2.xDiscover practical recipes to overcome various challenges faced while building computer
TensorFlow 2.0 Computer Vision Cookbook
Language: en
Pages: 542

TensorFlow 2.0 Computer Vision Cookbook

Authors: JESUS. MARTINEZ
Categories: Computers
Type: BOOK - Published: 2021-02-26 - Publisher:

Get well versed with state-of-the-art techniques to tailor training processes and boost the performance of computer vision models using machine learning and deep learning techniques Key Features: Develop, train, and use deep learning algorithms for computer vision tasks using TensorFlow 2.x Discover practical recipes to overcome various challenges faced while
Hands-On Computer Vision with TensorFlow 2
Language: en
Pages: 372

Hands-On Computer Vision with TensorFlow 2

Authors: Benjamin Planche, Eliot Andres
Categories: Computers
Type: BOOK - Published: 2019-05-30 - Publisher: Packt Publishing Ltd

A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and more Key FeaturesDiscover how to build, train, and serve your own deep neural networks with TensorFlow 2 and KerasApply modern solutions to a wide range of applications such as object detection and video
Generatives Deep Learning
Language: de
Pages: 310

Generatives Deep Learning

Authors: David Foster
Categories: Computers
Type: BOOK - Published: 2020 - Publisher:

Generative Modelle haben sich zu einem der spannendsten Themenbereiche der Künstlichen Intelligenz entwickelt: Mit generativem Deep Learning ist es inzwischen möglich, einer Maschine das Malen, Schreiben oder auch das Komponieren von Musik beizubringen - kreative Fähigkeiten, die bisher dem Menschen vorbehalten waren. Mit diesem praxisnahen Buch können Data Scientists einige
Python Image Processing Cookbook
Language: en
Pages: 438

Python Image Processing Cookbook

Authors: Sandipan Dey
Categories: Computers
Type: BOOK - Published: 2020-04-17 - Publisher: Packt Publishing Ltd

Explore Keras, scikit-image, open source computer vision (OpenCV), Matplotlib, and a wide range of other Python tools and frameworks to solve real-world image processing problems Key FeaturesDiscover solutions to complex image processing tasks using Python tools such as scikit-image and KerasLearn popular concepts such as machine learning, deep learning, and