Sprache: Englisch
Verlag: Packt Publishing (edition ), 2019
ISBN 10: 1788830644 ISBN 13: 9781788830645
Anbieter: BooksRun, Philadelphia, PA, USA
Paperback. Zustand: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Sprache: Englisch
Verlag: Packt Publishing Limited, United Kingdom, Birmingham, 2019
ISBN 10: 1788830644 ISBN 13: 9781788830645
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 48,11
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Very Good. A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and more Key Features Discover how to build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Learn how to run your models on mobile devices and web pages and improve their performance Book DescriptionComputer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. This book will help you explore TensorFlow 2, the brand new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. Hands-On Computer Vision with TensorFlow 2 starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the book demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. By the end of the book, you will have both the theoretical understanding and practical skills to solve advanced computer vision problems with TensorFlow 2.0. What you will learn Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Who this book is forIf you're new to deep learning and have some background in Python programming and image processing, like reading/writing image files and editing pixels, this book is for you. Even if you're an expert curious about the new TensorFlow 2 features, you'll find this book useful. While some theoretical concepts require knowledge of algebra and calculus, the book covers concrete examples focused on practical applications such as visual recognition for self-driving cars and smartphone apps. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
paperback. Zustand: Sehr gut. 372 Seiten; 9781788830645.2 Gewicht in Gramm: 1.
Anbieter: moluna, Greven, Deutschland
EUR 44,74
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. 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 AI framework, and teaches how to leverage deep neural networks for visual tasks. It will help yo.
Zustand: as new. edition 2019. vendeur professionnel; envoi soigne en 24/48h.
Zustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Verlag: Casa Editrice Sonzogno - Milano, MILANO, 1927
ISBN 13: 2560733083773
Anbieter: Biblioteca di Babele, Tarquinia, VT, Italien
Zustand: DISCRETO USATO. Collezione Sonzogno ITALIANO Volume degli anni '20 in stato discreto, coperta illustrata in tessuto, fregio e caratteri in bassorilievo su piatto anteriore e dorso, bruniture, macchie, bordo leggermente consunto, fioritura sparsa, tagli e margini delle pagine bruniti, strappo riparato con scotch su frontespizio, strappo e mancanza su due fogli di guardia. Introduzione di Sante-Beuve. LXXIX volume della Collezione Sonzogno. Numero Pagine 215.
Verlag: Garrick Club. 24 April no year
Anbieter: Richard M. Ford Ltd, London, Vereinigtes Königreich
Manuskript / Papierantiquität
EUR 47,24
Anzahl: 1 verfügbar
In den Warenkorb1p., 12mo. Fair, on aged paper and worn paper. He is 'exceedingly obliged' to Barnett for 'procuring for me the freedom of Her Majesty's Theatre'. He asks if he will 'receive an official commemoration from Mr. Lumley', or whether he should write and thank Lumley on the strength of Barnett's note.
Verlag: Charpentier et cie, 1873
Couverture rigide. Zustand: bon. RO30376586: 1873. In-12. Relié demi-cuir. Etat d'usage, Couv. légèrement passée, Dos fané, Papier jauni. 273 pages. Accrocs au dos. Titre, auteur, filets en doré au dos+ 5 nerfs et pièce de titre rouge. Plats jaspés. Coins rognés. Nombreuses rousseurs. . . . Classification Dewey : 840.08-XIX ème siècle.