Articoli correlati a TensorFlow 2 Pocket Reference: Building and Deploying...
Sinossi
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
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull'autore
KC Tung is a cloud solution architect in Microsoft who specializes in designing and delivering machine learning and AI solutions in enterprise cloud architecture. He helps enterprise customers with use-case driven architecture, AI/ML model development/deployment in the cloud, and technology selection and integration best suited for their requirements. He is a Microsoft certified AI engineer and data engineer. He has a PhD in molecular biophysics from the University of Texas Southwestern Medical, and has spoken at the 2018 O'Reilly AI Conference in San Francisco and the 2019 O'Reilly Tensorflow World Conference in San Jose.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per TensorFlow 2 Pocket Reference: Building and Deploying...
Immagini fornite dal venditore
TensorFlow 2 Pocket Reference: Building and Deploying Machine Learning Models
Da: ZBK Books, Carlstadt, NJ, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: like_new. Fast & Free Shipping â" Excellent condition book with clean cover and pages. Barely handled, with minimal wear. An outstanding copy, close to enjoy! Codice articolo ZWV.1492089184.LN
Compra usato
EUR 15,99
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
TensorFlow 2 Pocket Reference: Building and Deploying Machine Learning Models
Da: 2nd Life Books, Burlington, NJ, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: very_good. Used book in very good condition. May have some minor wear. May NOT include discs, or access code or other supplemental material. Ships directly from Amazon and is eligible for Prime or super saver FREE shipping. We ship Monday-Saturday and respond to inquiries within 24 hours. Codice articolo BXM.DEFN
Compra usato
EUR 12,78
Spedizione EUR 3,47
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
TensorFlow 2 Pocket Reference: Building and Deploying Machine Learning Models
Da: HPB-Red, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
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! Codice articolo S_466518043
Compra usato
EUR 13,09
Spedizione EUR 3,25
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Tensorflow 2 Pocket Reference : Building and Deploying Machine Learning Models
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition. Codice articolo 42834307
Compra usato
EUR 17,94
Spedizione EUR 2,29
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 7 disponibili
Foto dell'editore
TensorFlow 2 Pocket Reference: Building and Deploying Machine Learning Models
Da: Lakeside Books, Benton Harbor, MI, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: 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! Codice articolo OTF-S-9781492089186
Compra nuovo
EUR 18,08
Spedizione EUR 3,46
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Tensorflow 2 Pocket Reference : Building and Deploying Machine Learning Models
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 42834307-n
Compra nuovo
EUR 19,28
Spedizione EUR 2,29
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 7 disponibili
Immagini fornite dal venditore
TensorFlow 2 Pocket Reference
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. 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. Codice articolo LU-9781492089186
Compra nuovo
EUR 22,33
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Tensorflow 2 Pocket Reference: Building and Deploying Machine Learning Models (Paperback or Softback)
Editore:
O'Reilly Media 8/10/2021, 2021
ISBN 10: 1492089184
ISBN 13: 9781492089186
Nuovo
Paperback or Softback
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback or Softback. Condizione: New. Tensorflow 2 Pocket Reference: Building and Deploying Machine Learning Models. Book. Codice articolo BBS-9781492089186
Compra nuovo
EUR 22,44
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 5 disponibili
Foto dell'editore
TensorFlow 2 Pocket Reference
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo WO-9781492089186
Compra nuovo
EUR 22,22
Spedizione EUR 3,84
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 4 disponibili
Immagini fornite dal venditore
TensorFlow 2 Pocket Reference
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. 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. Codice articolo LU-9781492089186
Compra nuovo
EUR 28,51
Spedizione gratuita
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 2 disponibili