TensorFlow 2 Pocket Reference
building and deploying machine learning models
$50.32
- Paperback
300 pages
- Release Date
31 July 2021
Summary
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?…
Book Details
| ISBN-13: | 9781492089186 |
|---|---|
| ISBN-10: | 1492089184 |
| Author: | K.C. Tung |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 300 |
| Release Date: | 31 July 2021 |
| Weight: | 208g |
| Dimensions: | 178mm x 108mm |
About The Author
K.C. Tung
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.
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.