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Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI
Da: Goodbooks Company, Springdale, AR, U.S.A.
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Condizione: good. Book has corner edge dings and or scratches and signs of wear.
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Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications
Lingua: Inglese
Editore: Packt Publishing (edition ), 2020
ISBN 10: 1839213477 ISBN 13: 9781839213472
Da: BooksRun, Philadelphia, PA, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Fair. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
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Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
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Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications
Da: Magers and Quinn Booksellers, Minneapolis, MN, U.S.A.
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Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI
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Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications
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Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications
Da: California Books, Miami, FL, U.S.A.
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Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 824.
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Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications
Lingua: Inglese
Editore: Packt Publishing 2020-11-27, 2020
ISBN 10: 1839213477 ISBN 13: 9781839213472
Da: Chiron Media, Wallingford, Regno Unito
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Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications
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Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Modern Computer Vision with PyTorch
Lingua: Inglese
Editore: Packt Publishing Limited, GB, 2020
ISBN 10: 1839213477 ISBN 13: 9781839213472
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: New. Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questionsKey FeaturesImplement solutions to 50 real-world computer vision applications using PyTorchUnderstand the theory and working mechanisms of neural network architectures and their implementationDiscover best practices using a custom library created especially for this bookBook DescriptionDeep learning is the driving force behind many recent advances in various computer vision (CV) applications. This book takes a hands-on approach to help you to solve over 50 CV problems using PyTorch1.x on real-world datasets.You'll start by building a neural network (NN) from scratch using NumPy and PyTorch and discover best practices for tweaking its hyperparameters. You'll then perform image classification using convolutional neural networks and transfer learning and understand how they work. As you progress, you'll implement multiple use cases of 2D and 3D multi-object detection, segmentation, human-pose-estimation by learning about the R-CNN family, SSD, YOLO, U-Net architectures, and the Detectron2 platform. The book will also guide you in performing facial expression swapping, generating new faces, and manipulating facial expressions as you explore autoencoders and modern generative adversarial networks. You'll learn how to combine CV with NLP techniques, such as LSTM and transformer, and RL techniques, such as Deep Q-learning, to implement OCR, image captioning, object detection, and a self-driving car agent. Finally, you'll move your NN model to production on the AWS Cloud.By the end of this book, you'll be able to leverage modern NN architectures to solve over 50 real-world CV problems confidently.What you will learnTrain a NN from scratch with NumPy and PyTorchImplement 2D and 3D multi-object detection and segmentationGenerate digits and DeepFakes with autoencoders and advanced GANsManipulate images using CycleGAN, Pix2PixGAN, StyleGAN2, and SRGANCombine CV with NLP to perform OCR, image captioning, and object detectionCombine CV with reinforcement learning to build agents that play pong and self-drive a carDeploy a deep learning model on the AWS server using FastAPI and DockerImplement over 35 NN architectures and common OpenCV utilitiesWho this book is forThis book is for beginners to PyTorch and intermediate-level machine learning practitioners who are looking to get well-versed with computer vision techniques using deep learning and PyTorch. If you are just getting started with neural networks, you'll find the use cases accompanied by notebooks in GitHub present in this book useful. Basic knowledge of the Python programming language and machine learning is all you need to get started with this book.
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Modern Computer Vision with PyTorch
Lingua: Inglese
Editore: Packt Publishing Limited, GB, 2020
ISBN 10: 1839213477 ISBN 13: 9781839213472
Da: Rarewaves.com UK, London, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 94,25
Spedizione EUR 75,15
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questionsKey FeaturesImplement solutions to 50 real-world computer vision applications using PyTorchUnderstand the theory and working mechanisms of neural network architectures and their implementationDiscover best practices using a custom library created especially for this bookBook DescriptionDeep learning is the driving force behind many recent advances in various computer vision (CV) applications. This book takes a hands-on approach to help you to solve over 50 CV problems using PyTorch1.x on real-world datasets.You'll start by building a neural network (NN) from scratch using NumPy and PyTorch and discover best practices for tweaking its hyperparameters. You'll then perform image classification using convolutional neural networks and transfer learning and understand how they work. As you progress, you'll implement multiple use cases of 2D and 3D multi-object detection, segmentation, human-pose-estimation by learning about the R-CNN family, SSD, YOLO, U-Net architectures, and the Detectron2 platform. The book will also guide you in performing facial expression swapping, generating new faces, and manipulating facial expressions as you explore autoencoders and modern generative adversarial networks. You'll learn how to combine CV with NLP techniques, such as LSTM and transformer, and RL techniques, such as Deep Q-learning, to implement OCR, image captioning, object detection, and a self-driving car agent. Finally, you'll move your NN model to production on the AWS Cloud.By the end of this book, you'll be able to leverage modern NN architectures to solve over 50 real-world CV problems confidently.What you will learnTrain a NN from scratch with NumPy and PyTorchImplement 2D and 3D multi-object detection and segmentationGenerate digits and DeepFakes with autoencoders and advanced GANsManipulate images using CycleGAN, Pix2PixGAN, StyleGAN2, and SRGANCombine CV with NLP to perform OCR, image captioning, and object detectionCombine CV with reinforcement learning to build agents that play pong and self-drive a carDeploy a deep learning model on the AWS server using FastAPI and DockerImplement over 35 NN architectures and common OpenCV utilitiesWho this book is forThis book is for beginners to PyTorch and intermediate-level machine learning practitioners who are looking to get well-versed with computer vision techniques using deep learning and PyTorch. If you are just getting started with neural networks, you'll find the use cases accompanied by notebooks in GitHub present in this book useful. Basic knowledge of the Python programming language and machine learning is all you need to get started with this book.
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Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 70,42
Spedizione EUR 7,51
Spedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 824.
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Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 4 su 5 stelle
EUR 71,50
Spedizione EUR 9,95
Spedito da Germania a U.S.A.Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 824.
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Modern Computer Vision with PyTorch: A practical and comprehensive guide to understanding deep learning and multimodal models for real-world vision tasks, 2nd Edition
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 87,74
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Spedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 820.
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Modern Computer Vision with PyTorch: A practical and comprehensive guide to understanding deep learning and multimodal models for real-world vision tasks, 2nd Edition
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. Print on Demand pp. 820.
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Modern Computer Vision with PyTorch: A practical and comprehensive guide to understanding deep learning and multimodal models for real-world vision tasks, 2nd Edition
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 4 su 5 stelle
EUR 88,39
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Spedito da Germania a U.S.A.Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 820.
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EUR 83,76
Spedizione EUR 48,99
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Starting from the basics of neural networks, this book covers over 50 applications of computer vision and helps you to gain a solid understanding of the theory of various architectures before implementing them. Each use case is accompanied by a notebook in .
