Jesus Martinez – författare

The institutions of the European Union employ hundreds of translators. Why? What do they do? What sort of translation problems do they have to tackle? Has the language policy of the European Union been affected by the recent inclusion of new Member States?This book answers all those questions. Written by three experienced translators from the European Commission, it aims to help general readers, translation students and freelance translators to understand the European Union institutions and their work. Although it deals with written rather than spoken translation, much of the information it gives will be of interest to interpreters too.This second edition has been updated to reflect the new composition of the EU and changes to recruitment procedures.

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 techniquesKey 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 DescriptionComputer 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 forThis 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.

The institutions of the European Union employ hundreds of translators. Why? What do they do? What sort of translation problems do they have to tackle? Has the language policy of the European Union been affected by the recent inclusion of new Member States?This book answers all those questions. Written by three experienced translators from the European Commission, it aims to help general readers, translation students and freelance translators to understand the European Union institutions and their work. Although it deals with written rather than spoken translation, much of the information it gives will be of interest to interpreters too.This second edition has been updated to reflect the new composition of the EU and changes to recruitment procedures.

The institutions of the European Union employ hundreds of translators. Why? What do they do? What sort of translation problems do they have to tackle? Has the language policy of the European Union been affected by the recent inclusion of new Member States?This book answers all those questions. Written by three experienced translators from the European Commission, it aims to help general readers, translation students and freelance translators to understand the European Union institutions and their work. Although it deals with written rather than spoken translation, much of the information it gives will be of interest to interpreters too.This second edition has been updated to reflect the new composition of the EU and changes to recruitment procedures.