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Deep Learning: Python for Data Science: A Guide to using Python for Tensor Flow, PyTorch, Keras in creating Deep Learning Model Frameworks Paperback
DKK 203
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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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| Item Weight | 2.5 lbs (1.13 kg) |
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.
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Occasional Learners
Casual readers not intending to practice deep learning will not benefit from the practical coding examples provided.
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Non-Technical Professionals
Professionals outside of technical fields may struggle with the advanced terminology and concepts presented in the book.
PRODUKTBESKRIVELSE
Deep Learning: Python for Data Science: A Guide to using Python for Tensor Flow, PyTorch, Keras in creating Deep Learning Model Frameworks Paperback – 19 May 2025
Kundespørgsmal & svar
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spørgsmål:
Who is this book for?
svar: It's ideal for aspiring data scientists, experienced developers, and anyone interested in deep learning. -
spørgsmål:
What frameworks does the book cover?
svar: The book focuses on TensorFlow, PyTorch, and Keras. -
spørgsmål:
Can I use the techniques learned for real-world applications?
svar: Absolutely! The book provides practical strategies for building and deploying deep learning models in production.
AI & Machine Learning Editorial Review
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DKK 203
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Egenskaber og fordele
- 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.
