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TensorFlow 2.0: A Beginner's Guide to Deep Learning
Brief
Step into the world of artificial intelligence with confidence. TensorFlow 2.0: A Beginner’s Guide to Deep Learning (with Python) is your practical roadmap to mastering deep learning—even if you're brand new to the field.
Book
This hands-on guide introduces you to the fundamentals of deep learning using TensorFlow 2.0 and Python, two of the most powerful tools in the AI space today. Through clear explanations and real-world examples, you'll learn the core concepts of neural networks, how to build and train models, and how to deploy them effectively.
Whether you're a student, developer, or aspiring AI professional, this book breaks down complex topics like CNNs, RNNs, and model optimization into digestible lessons. Each chapter builds your understanding step by step, making deep learning approachable and practical from day one.
Why Choose this Book?
Beginner-Friendly No prior deep learning experience needed—just basic Python knowledge.
Hands-On Apply what you learn with real coding exercises and mini-projects.
Covers Key Learn TensorFlow 2.0, neural networks, computer vision, NLP, and more.
Updated for Modern Uses TensorFlow 2.0’s intuitive APIs for faster, cleaner coding.
Ideal for Clear structure and practical examples make independent study easy.
Start building intelligent systems today—grab your copy of TensorFlow 2.0: A Beginner’s Guide to Deep Learning (with Python) and take the first step toward a future in AI!
Step into the world of artificial intelligence with confidence. TensorFlow 2.0: A Beginner’s Guide to Deep Learning (with Python) is your practical roadmap to mastering deep learning—even if you're brand new to the field.
Book
This hands-on guide introduces you to the fundamentals of deep learning using TensorFlow 2.0 and Python, two of the most powerful tools in the AI space today. Through clear explanations and real-world examples, you'll learn the core concepts of neural networks, how to build and train models, and how to deploy them effectively.
Whether you're a student, developer, or aspiring AI professional, this book breaks down complex topics like CNNs, RNNs, and model optimization into digestible lessons. Each chapter builds your understanding step by step, making deep learning approachable and practical from day one.
Why Choose this Book?
Beginner-Friendly No prior deep learning experience needed—just basic Python knowledge.
Hands-On Apply what you learn with real coding exercises and mini-projects.
Covers Key Learn TensorFlow 2.0, neural networks, computer vision, NLP, and more.
Updated for Modern Uses TensorFlow 2.0’s intuitive APIs for faster, cleaner coding.
Ideal for Clear structure and practical examples make independent study easy.
Start building intelligent systems today—grab your copy of TensorFlow 2.0: A Beginner’s Guide to Deep Learning (with Python) and take the first step toward a future in AI!
204 pages, Kindle Edition
Published April 11, 2025
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