TensorFlow 2 Pocket Reference: Building and Deploying Machine Learning Models


TensorFlow 2 Pocket Reference: Building and Deploying Machine Learning Models
by: KC Tung
Publisher Finelybook 出版社:O’Reilly Media; 1st edition (August 10, 2021)
Language 语言:English
pages 页数:256 pages
ISBN-10 书号:1492089184
ISBN-13 书号:9781492089186
File size:conver PDF,epub

Book 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

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