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138661975
Deep Learning: Python for Data Science: A Guide to using Python for Tensor Flow, PyTorch, Keras in creating Deep Learning Model Frameworks
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Stavka #:
138661975
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Unlock the transformative power of deep learning with Deep Learning: Python for Data Science, your essential guide to building, training, and deploying advanced deep learning models.
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What Stands Out
Comprehensive Frameworks
Covers major deep learning frameworks like TensorFlow, PyTorch, and Keras, providing a versatile toolkit for developers to create and customize models effectively.
User-Friendly Approach
Designed for data science enthusiasts, this guide simplifies complex concepts and offers practical examples to enhance learning and application in real-world scenarios.
Future-Proof Skills
Equips readers with essential skills in deep learning, ensuring relevance in the rapidly evolving tech landscape and enhancing career opportunities in data science.
Detalji o proizvodu
| Publisher | Independently published |
| Publication date | 19 May 2025 |
| Language | English |
| Print length | 125 pages |
| ISBN-13 | 979-8284473689 |
| Item weight | 340 g |
| Dimensions | 20.32 x 0.74 x 25.4 cm |
Who Should Buy?
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Aspiring Data Scientists
Individuals looking to develop deep learning skills and utilize Python frameworks for data analysis and machine learning.
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Python Developers
Developers seeking to expand their knowledge into deep learning applications using popular libraries like TensorFlow and PyTorch.
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Students Learning AI
Students and learners interested in artificial intelligence who want a practical guide to implementing deep learning models.
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Beginners in Programming
Users with no programming experience may find the subject matter too complex and challenging to understand.
OPIS PROIZVODA
Deep Learning: Python for Data Science: A Guide to using Python for Tensor Flow, PyTorch, Keras in creating Deep Learning Model Frameworks
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Značajke i prednosti
- Comprehensive guide to deep learning using Python's top frameworks: TensorFlow, PyTorch, and Keras.
- Hands-on approach tailored for aspiring data scientists, developers, and tech enthusiasts.
- Master neural networks, model training, and advanced deep learning techniques.
- Explore TensorFlow’s execution models, Keras's streamlined development, and PyTorch’s flexibility.
- Learn to preprocess diverse data types and optimize model deployment for production.
- Equipped with practical strategies for building AI-driven applications in today's world.
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