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88822625
Learning Tensorflow: A Guide to Building Deep Learning Systems Paperback
Item #:
88822625
SAR 162
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Product Details
| Language | English |
| Publisher | O'Reilly Media |
| Book Format | Paperback |
| Original Languages | English |
| Number of Pages | 240 |
| Author | Tom Hope; Yehezkel Resheff; Itay Lieder |
| Title | Learning Tensorflow: A Guide to Building Deep Learning Systems |
| ISBN-13 | 9781491978511 |
| Publication Date | September, 2017 |
| Assembled Product Dimensions (L x W x H) | 6.90 x 0.80 x 9.10 Inches (17.5 x 2 x 23.1 cm) |
| ISBN-10 | 1491978511 |
| Genre | Computing & Internet |
| Original languages | English |
| Age group | Adult |
| Book format | Paperback |
| Pages | 240 |
| Manufacturer | O'Reilly Media |
| Publication date | September, 2017 |
| Made in | US |
Product Description
Learning Tensorflow: A Guide to Building Deep Learning Systems Paperback
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Pros
- Easy-to-follow instructions
- Comprehensive coverage of topics
- Practical examples provided
- Great for beginners and experts
- Well-structured and organized
Cons
- Some advanced topics may lack depth.
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Features & Benefits
- Master TensorFlow and build production-ready deep learning systems.
- Practical guide for a wide range of users: data scientists, engineers, students, and researchers.
- Covers both basic examples and advanced topics in TensorFlow.
- Learn neural network architectures and TensorBoard visualization.
- Utilize abstraction libraries to speed up development.
- Learn to scale TensorFlow for distributed model training.
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