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Nº de artículo:
138662018
Deep Learning: Python for Data Science: A Guide to using Python for Tensor Flow, PyTorch, Keras in creating Deep Learning Model Frameworks Hardcover
Nº de artículo:
138662018
NIO 2142
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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 using Python’s leading frameworks.
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What Stands Out
Comprehensive Coverage
This guide offers in-depth insights into using Python with TensorFlow, PyTorch, and Keras, ensuring learners grasp deep learning frameworks effectively.
User-Friendly Approach
Designed for both beginners and advanced users, it simplifies complex concepts, making deep learning accessible to everyone wanting to harness Python.
Practical Applications
Includes hands-on projects and examples, allowing readers to immediately apply their knowledge and build real-world deep learning models.
Detalles de producto
| Item Weight | 2 lbs (910 grams) |
Who Should Buy?
-
Aspiring Data Scientists
Provides essential knowledge and skills needed for anyone looking to enter the field of data science.
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Machine Learning Enthusiasts
Perfect for individuals who wish to deepen their understanding of deep learning frameworks and methods using Python.
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Tech Educators
Useful for instructors looking to update curricula with current deep learning framework practices and implementations.
-
Complete Beginners
Not suitable for those without prior programming or data science knowledge, as it assumes foundational skills.
-
Casual Readers
Individuals not seriously interested in deep learning may find the content too technical and dense.
-
Non-Technical Professionals
Professionals outside tech fields might struggle with the technical jargon and concepts presented throughout the book.
DESCRIPCIÓN DEL PRODUCTO
Deep Learning: Python for Data Science: A Guide to using Python for Tensor Flow, PyTorch, Keras in creating Deep Learning Model Frameworks Hardcover – 19 May 2025
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Preguntas y respuestas de los clientes
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Pregunta:
What frameworks does the book cover?
Respuesta: The book covers TensorFlow, PyTorch, and Keras. -
Pregunta:
Is this book suitable for beginners?
Respuesta: Yes, it is suitable for both beginners and experienced developers. -
Pregunta:
What can I expect to learn from this book?
Respuesta: You will learn to build, train, and deploy advanced deep learning models.
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características y beneficios
- Comprehensive guide to deep learning using Python.
- Covers TensorFlow, PyTorch, and Keras frameworks.
- Ideal for aspiring data scientists and experienced developers.
- Hands-on approach for building and deploying models.
- Includes advanced techniques for model architectures and data preprocessing.
- Offers practical insights for transitioning models into production.