Artículos relacionados a Practical Machine Learning for Computer Vision: End-to-End...
Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images - Tapa blanda
Sinopsis
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability.
Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras.
You'll learn how to:
- Design ML architecture for computer vision tasks
- Select a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task
- Create an end-to-end ML pipeline to train, evaluate, deploy, and explain your model
- Preprocess images for data augmentation and to support learnability
- Incorporate explainability and responsible AI best practices
- Deploy image models as web services or on edge devices
- Monitor and manage ML models
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Valliappa (Lak) Lakshmanan is the director of analytics and AI solutions at Google Cloud, where he leads a team building cross-industry solutions to business problems. His mission is to democratize machine learning so that it can be done by anyone anywhere. Martin Goerner is a product manager for Keras/TensorFlow focused on improving the developer experience when using state-of-the-art models. He's passionate about science, technology, coding, algorithms, and everything in between. Ryan Gillard is an AI engineer in Google Cloud's Professional Services organization, where he builds ML models for a wide variety of industries. He started his career as a research scientist in the hospital and healthcare industry. With degrees in neuroscience and physics, he loves working at the intersection of those disciplines exploring intelligence through mathematics.
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 40,86
EUR 10,10 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envíoComprar nuevo
Ver este artículo
EUR 56,66
EUR 4,60 gastos de envío desde Reino Unido a España
Destinos, gastos y plazos de envíoResultados de la búsqueda para Practical Machine Learning for Computer Vision: End-to-End...
Imagen de archivo
Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images
Publicado por
O'Reilly Media, 2021
ISBN 10: 1098102363
ISBN 13: 9781098102364
Antiguo o usado
paperback
Librería: Austin Goodwill 1101, Austin, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
paperback. Condición: Good. Get fast and secure shipping knowing your purchase helps empower our community to transform their lives through work. Nº de ref. del artículo: 4RZV6M000S97
Cantidad disponible: 1 disponibles
Imagen de archivo
Practical Machine Learning for Computer Vision : End-to-End Machine Learning for Images
Publicado por
O'Reilly Media, 2021
ISBN 10: 1098102363
ISBN 13: 9781098102364
Antiguo o usado
Tapa blanda
Librería: Buchpark, Trebbin, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: Gut. Zustand: Gut | Seiten: 463 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 37328147/3
Cantidad disponible: 1 disponibles
Imagen de archivo
Practical Machine Learning for Computer Vision
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: WO-9781098102364
Cantidad disponible: 8 disponibles
Imagen de archivo
Practical Machine Learning for Computer Vision
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: WO-9781098102364
Cantidad disponible: 11 disponibles
Imagen de archivo
PRACTICAL MACHINE LEARNING FOR COMPUTER
Librería: Speedyhen, London, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: NEW. Nº de ref. del artículo: NW9781098102364
Cantidad disponible: 2 disponibles
Imagen del vendedor
Practical Machine Learning for Computer Vision: End-To-End Machine Learning for Images (Paperback or Softback)
Publicado por
O'Reilly Media 8/10/2021, 2021
ISBN 10: 1098102363
ISBN 13: 9781098102364
Nuevo
Paperback or Softback
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback or Softback. Condición: New. Practical Machine Learning for Computer Vision: End-To-End Machine Learning for Images 1.68. Book. Nº de ref. del artículo: BBS-9781098102364
Cantidad disponible: 5 disponibles
Imagen del vendedor
Practical Machine Learning for Computer Vision : End-to-End Machine Learning for Images
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 42834304-n
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9781098102364_new
Cantidad disponible: 9 disponibles
Imagen del vendedor
Practical Machine Learning for Computer Vision
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Paperback. Condición: New. This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability.Google engineers Valliappa Lakshmanan, Martin Goerner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras.You'll learn how to:Design ML architecture for computer vision tasksSelect a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your taskCreate an end-to-end ML pipeline to train, evaluate, deploy, and explain your modelPreprocess images for data augmentation and to support learnabilityIncorporate explainability and responsible AI best practicesDeploy image models as web services or on edge devicesMonitor and manage ML models. Nº de ref. del artículo: LU-9781098102364
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9781098102364
Cantidad disponible: Más de 20 disponibles