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Item #:
273922079
Hands-On Deep Learning: From Beginner to Advanced with TensorFlow, (Paperback)
Item #:
273922079
INR 6193
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INR 6193
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Product Details
- \Hands-On Deep Learning: From Beginner to Advanced with TensorFlow\ is a comprehensive guide that takes readers on a journey through the world of deep learning. The book covers fundamental concepts, practical implementations, and advanced techniques using TensorFlow, one of the most powerful and popular deep learning frameworks. With a focus on hands-on projects and real-world applications, this book is designed for students, researchers, and professionals who want to master deep learning from the ground up. Topics include neural networks, convolutional neural networks, recurrent neural networks, reinforcement learning, hyperparameter tuning, model optimization, and deployment strategies, along with practical case studies and future trends in the field.
| Publication date | June, 2024 |
| Author | LAP Lambert Academic Publishing |
| Book format | Paperback |
| Genre | Computing & Internet |
| Pages | 80 |
| Age group | Adult |
| Series title | No Series |
| Fiction/nonfiction | Non-Fiction |
| Publisher | KS Omniscriptum Publishing |
| Educational level | General |
| Subgenre | General |
| Original languages | English |
| Edu focus | Technology |
| Recording time | 0 min |
| Is collectible | N |
| Bisac subject heading | Technology & Engineering |
| Edition | 1 |
| Language | English |
| Item Weight | 0.5 lbs (230 grams) |
Product Description
Hands-On Deep Learning: From Beginner to Advanced with TensorFlow, (Paperback)
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INR 6193
Order now and get it around Tuesday, November 10
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Features & Benefits
- Comprehensive guide covering deep learning fundamentals to advanced techniques.
- Focuses on practical implementations for real-world applications.
- Includes hands-on projects designed for students, researchers, and professionals.
- Covers essential topics like neural networks, CNNs, RNNs, and reinforcement learning.
- Features hyperparameter tuning, model optimization, and deployment strategies.
- Provides future trends and case studies in the field of deep learning.
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