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Programming Neural Networks with Python: Your Practical Guide to Building Smart AI Systems with Machine Learning and Deep Learning (Rheinwerk
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Ensure you’re on the cutting edge of AI with this practical guide to programming neural networks and building smart AI systems.
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Детаљи о производу
| Publisher | Rheinwerk Computing |
| Publication date | May 28, 2025 |
| Edition | New |
| Language | English |
| Print length | 457 pages |
| ISBN-10 | 1493226967 |
| ISBN-13 | 978-1493226962 |
| Item Weight | 1.62 pounds (730 grams) |
| Dimensions | 1.25 x 7 x 10 inches (3.2 x 17.8 x 25.4 cm) |
Who Should Buy?
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Aspiring Data Scientists
Ideal for beginners eager to understand neural networks and implement AI solutions using Python programming.
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Academic Students
Great resource for university students in computer science or related fields, supplementing coursework in AI and machine learning.
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Software Developers
Beneficial for developers looking to expand their skill set with practical applications of machine learning and deep learning.
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Absolute Beginners
Not suitable for those with no programming background or basic understanding of Python before diving into neural networks.
OPIS PROIZVODA
Programming Neural Networks with Python: Your Practical Guide to Building Smart AI Systems with Machine Learning and Deep Learning (Rheinwerk Computing)
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Podelite svoja razmišljanja sa drugim kupcima
Прос
- Clear and practical examples
- Well-structured content
- Covers deep learning comprehensively
- Great for beginners and experts
- Includes useful exercises
Цонс
- Some topics may be advanced for new users.
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RSD 9221
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Карактеристике и предности
- Practical introduction to programming neural networks with Python.
- Comprehensive coverage from beginner concepts to advanced techniques.
- Hands-on approach with diverse practical examples including image classification and large language models.
- Learn to develop and train both simple and multi-layer networks.
- Focus on essential algorithms, activation functions, and model optimization strategies.
- Perfect for anyone interested in machine learning, deep learning, and AI technology.
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