Download the fantastic book titled TensorFlow 2 Pocket Reference written by K. C. Tung, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "TensorFlow 2 Pocket Reference", which was released on 16 November 2021. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the genre.
Summary of TensorFlow 2 Pocket Reference by K. C. Tung PDF
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
Detail About TensorFlow 2 Pocket Reference PDF
- Author : K. C. Tung
- Publisher : O'Reilly Media
- Genre :
- Total Pages : 300 pages
- ISBN : 9781492089186
- Release Date : 16 November 2021
- PDF File Size : 13,6 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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