Description: TensorFlow 2 Pocket Reference by K.C. Tung 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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" Author Biography 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 OReilly AI Conference in San Francisco and the 2019 OReilly Tensorflow World Conference in San Jose. Details ISBN1492089184 Author K.C. Tung Pages 300 Language English Year 2021 ISBN-10 1492089184 ISBN-13 9781492089186 Format Paperback Audience Professional and Scholarly Place of Publication Sebastopol Country of Publication United States Publication Date 2021-07-31 AU Release Date 2021-07-31 NZ Release Date 2021-07-31 US Release Date 2021-07-31 UK Release Date 2021-07-31 Publisher OReilly Media Imprint OReilly Media Subtitle Building and Deploying Machine Learning Models DEWEY 006.31 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:132900853;
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ISBN-13: 9781492089186
Book Title: TensorFlow 2 Pocket Reference
Item Height: 178 mm
Item Width: 108 mm
Author: K. C. Tung
Publication Name: Tensorflow 2 Pocket Référence: Building and Deploying Machine Learning Models
Format: Paperback
Language: English
Publisher: O'reilly Media, Inc, USA
Subject: Computer Science
Publication Year: 2021
Type: Textbook
Number of Pages: 300 Pages