Benjamin Planche (131 results)

Paperback. Condition: 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. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Condition: good. Signs of wear and consistent use.

Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Condition: new.

paperback. Condition: New. Paperback. Cover and spine in good condition. Spine is tight. Pages are clean, no markings, notes or stains. Ships from Friends bookstore to benefit Beaverton (Oregon) library.

Condition: New.

Paperback or Softback. Condition: New. Hands-On Computer Vision with Tensorflow 2. Book.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: Fair / Good. Dust Jacket Condition: No Dustjacket. Nouvelle Edition. 273 pages. No dustjacket. Leather to boards' corners, spine and hinges. Blue marbed boards, end-papers and page-edges. Wear with rubbing/small frays to spine-ends and boards' corners. Rubbing to hinges, some light blotching to free end-papers, inner front hinge a little strained but firm. pages clean and sound.

Paperback. Condition: New. A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and moreKey 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 analysisLearn how to run your models on mobile devices and web pages and improve their performanceBook 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 learnCreate your own neural networks from scratchClassify images with modern architectures including Inception and ResNetDetect and segment objects in images with YOLO, Mask R-CNN, and U-NetTackle problems faced when developing self-driving cars and facial emotion recognition systemsBoost your application's performance with transfer learning, GANs, and domain adaptationUse recurrent neural networks (RNNs) for video analysisOptimize and deploy your networks on mobile devices and in the browserWho 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.

Condition: New. In.

Paperback. Condition: New.

Paperback. Condition: 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.

Condition: New.

Condition: As New. Unread book in perfect condition.

paperback. Condition: Sehr gut. 372 Seiten; 9781788830645.2 Gewicht in Gramm: 1.

Couverture souple. Condition: Bon. Paris . " LE JOURNAL AMUSANT " Journal HUMORISTIQUE Hebdomadaire de 16 Pages , format 25,5 x 33,5 cm , orné de deux couvertures et de nombreuses gravures exécutées par les meilleurs dessinateurs humoristiques de l'époque . Sous la direction de Paul PHILIPON . N° 661 du 24 Février 1912 . Couverture défraichie au bord , une déchirure .

Condition: 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.

Condition: as new. edition 2019. vendeur professionnel; envoi soigne en 24/48h.

Couverture souple. Condition: Bon. Paris . " LE JOURNAL AMUSANT " Journal HUMORISTIQUE Hebdomadaire de 16 Pages , format 25,5 x 33,5 cm , orné de deux couvertures et de nombreuses gravures exécutées par les meilleurs dessinateurs humoristiques de l'époque . Sous la direction de Paul PHILIPON . N° 695 du 10 Octobre 1912 . Des petits manques .

Couverture souple. Condition: Bon. Paris . . " LE JOURNAL AMUSANT " Journal HUMORISTIQUE Hebdomadaire de 16 Pages , format 25,5 x 33,5 cm , orné de deux couvertures et de nombreuses gravures exécutées par les meilleurs dessinateurs humoristiques de l'époque . Sous la direction de Paul PHILIPON . N° 670 du 27 Avril 1912 . Un bord sali .

Couverture souple. Condition: Bon. Paris . " LE JOURNAL AMUSANT " Journal HUMORISTIQUE Hebdomadaire de 16 Pages , format 25,5 x 33,5 cm , orné de deux couvertures et de nombreuses gravures exécutées par les meilleurs dessinateurs humoristiques de l'époque . Sous la direction de Paul PHILIPON . N° 676 du 6 Juin 1912 .

Couverture souple. Condition: Bon. Paris . " LE JOURNAL AMUSANT " Journal HUMORISTIQUE Hebdomadaire de 16 Pages , format 25,5 x 33,5 cm , orné de deux couvertures couleurs & de nombreuses gravures exécutées par les meilleurs dessinateurs humoristiques de l'époque . Sous la direction de Paul PHILIPON . N° 618 du 29 Avril 1911 . Déchirure en bas du second plat .

Couverture souple. Condition: Bon. Paris . " LE JOURNAL AMUSANT " Journal HUMORISTIQUE Hebdomadaire de 16 Pages , format 25,5 x 33,5 cm , orné de deux couvertures couleurs & de nombreuses gravures exécutées par les meilleurs dessinateurs humoristiques de l'époque . Sous la direction de Paul PHILIPON . N° 611 du 11 Mars 1911 .

Couverture souple. Condition: Bon. Paris . " LE JOURNAL AMUSANT " Journal HUMORISTIQUE Hebdomadaire de 16 Pages , format 25,5 x 33,5 cm , orné de deux couvertures couleurs & de nombreuses gravures exécutées par les meilleurs dessinateurs humoristiques de l'époque . Sous la direction de Paul PHILIPON . N° 645 du 4 Novembre 1911 . Bords de couverture salis .

Couverture souple. Condition: Bon. Paris . " LE JOURNAL AMUSANT " Journal HUMORISTIQUE Hebdomadaire de 16 Pages , format 25,5 x 33,5 cm , orné de deux couvertures couleurs & de nombreuses gravures exécutées par les meilleurs dessinateurs humoristiques de l'époque . Sous la direction de Paul PHILIPON . N° 620 13 Mai 1911 .

Couverture souple. Condition: Très bon. Paris . " LE JOURNAL AMUSANT " Journal HUMORISTIQUE Hebdomadaire de 16 Pages , format 25,5 x 33,5 cm , orné de deux couvertures couleurs & de nombreuses gravures exécutées par les meilleurs dessinateurs humoristiques de l'époque . Sous la direction de Paul PHILIPON . N° 616 du 15 Avril 1911 .