Da: HPB-Red, Dallas, TX, U.S.A.
paperback. Condizione: 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!
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: Lakeside Books, Benton Harbor, MI, U.S.A.
EUR 18,24
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
EUR 22,52
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself.When and why would you feed training data as using NumPy or a streaming dataset? How would you set up cross-validations in the training process? How do you leverage a pretrained model using transfer learning? How do you perform hyperparameter tuning? Pick up this pocket reference and reduce the time you spend searching through options for your TensorFlow use cases.Understand best practices in TensorFlow model patterns and ML workflowsUse code snippets as templates in building TensorFlow models and workflowsSave development time by integrating prebuilt models in TensorFlow HubMake informed design choices about data ingestion, training paradigms, model saving, and inferencingAddress common scenarios such as model design style, data ingestion workflow, model training, and tuning.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 22,06
Quantità: 3 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 28,35
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself.When and why would you feed training data as using NumPy or a streaming dataset? How would you set up cross-validations in the training process? How do you leverage a pretrained model using transfer learning? How do you perform hyperparameter tuning? Pick up this pocket reference and reduce the time you spend searching through options for your TensorFlow use cases.Understand best practices in TensorFlow model patterns and ML workflowsUse code snippets as templates in building TensorFlow models and workflowsSave development time by integrating prebuilt models in TensorFlow HubMake informed design choices about data ingestion, training paradigms, model saving, and inferencingAddress common scenarios such as model design style, data ingestion workflow, model training, and tuning.
Lingua: Inglese
Editore: O'Reilly Media, Sebastopol, 2021
ISBN 10: 1492089184 ISBN 13: 9781492089186
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself.When and why would you feed training data as using NumPy or a streaming dataset? How would you set up cross-validations in the training process? How do you leverage a pretrained model using transfer learning? How do you perform hyperparameter tuning? Pick up this pocket reference and reduce the time you spend searching through options for your TensorFlow use cases.Understand best practices in TensorFlow model patterns and ML workflows Use code snippets as templates in building TensorFlow models and workflows Save development time by integrating prebuilt models in TensorFlow Hub Make informed design choices about data ingestion, training paradigms, model saving, and inferencing Address common scenarios such as model design style, data ingestion workflow, model training, and tuning" This easy-to-use reference for Tensorflow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 24,71
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: new.
EUR 25,83
Quantità: 3 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 22,05
Quantità: 7 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 29,45
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 300 pages. 7.00x4.25x0.54 inches. In Stock.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 25,50
Quantità: 7 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 43,58
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: California Books, Miami, FL, U.S.A.
EUR 45,97
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 35,80
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. 2021. Paperback. . . . . .
Condizione: New. Learn TensorFlow Enterprise: Build, manage, and scale machine learning workloads seamlessly using Google's TensorFlow Enterprise (Paperback or Softback).
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 47,57
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.
Condizione: New. pp. 314.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 48,44
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 48,42
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Materials Research Society, 2012
ISBN 10: 1605113832 ISBN 13: 9781605113838
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
EUR 24,10
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself.When and why would you feed training data as using NumPy or a streaming dataset? How would you set up cross-validations in the training process? How do you leverage a pretrained model using transfer learning? How do you perform hyperparameter tuning? Pick up this pocket reference and reduce the time you spend searching through options for your TensorFlow use cases.Understand best practices in TensorFlow model patterns and ML workflowsUse code snippets as templates in building TensorFlow models and workflowsSave development time by integrating prebuilt models in TensorFlow HubMake informed design choices about data ingestion, training paradigms, model saving, and inferencingAddress common scenarios such as model design style, data ingestion workflow, model training, and tuning.
Da: Once Upon A Time, Corozal, PR, U.S.A.
hardcover. Condizione: Very Good. Condizione sovraccoperta: Very Good. Lightly used, text and pages clean and unmarked, slight cover wearI ship Worldwide from Puerto Rico, USA.Listing Includes Books Image . Please email me if you need to see more pictures! The orders are processed promptly, carefully packaged and shipped within 1 day of purchase. PLEASE NOTE! if you need the book quickly, please Purchase Priority Shipping. Media will not show updates in mail confirmation till reaches continental U.S.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 52,88
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: Very Good. 1. 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.
EUR 59,99
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Muy bueno. : Este libro es una guía completa para el uso de Excel y VBA en el campo de las finanzas. Cubre temas como la modelización de riesgos, la ingeniería financiera y la computación financiera. Está diseñado para estudiantes y profesionales que buscan mejorar sus habilidades en el uso de Excel y VBA para aplicaciones financieras. El libro incluye ejemplos prácticos y códigos que se pueden utilizar para resolver problemas financieros del mundo real. EAN: 9780470824399 Tipo: Libros Categoría: Tecnología|Negocios y Economía Título: Professional Financial Computing Using Excel and VBA Autor: Humphrey K. K. Tung| Donny C. F. Lai| Michael C. S. Wong Editorial: Wiley Idioma: en Páginas: 352 Formato: tapa dura.
EUR 25,72
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. This easy-to-use reference for Tensorflow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusin.