Deep Learning with Python and Keras: A Practical Guide Using Keras for Real-World Projects (eBook, ePUB)
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Deep Learning with Python and Keras: Modern AI Solutions from Fundamentals to Advanced Applications is a comprehensive, hands-on guide for mastering deep learning using Python's most intuitive and powerful library-Keras. This book is crafted for both beginners and experienced practitioners who want to build, train, and deploy state-of-the-art neural networks with clarity and efficiency. Starting from the foundational concepts of deep learning, readers are introduced to the mathematical principles, core workflows, and best practices that underpin successful AI projects. Through practical exampl...
Deep Learning with Python and Keras: Modern AI Solutions from Fundamentals to Advanced Applications is a comprehensive, hands-on guide for mastering deep learning using Python's most intuitive and powerful library-Keras. This book is crafted for both beginners and experienced practitioners who want to build, train, and deploy state-of-the-art neural networks with clarity and efficiency. Starting from the foundational concepts of deep learning, readers are introduced to the mathematical principles, core workflows, and best practices that underpin successful AI projects. Through practical examples and step-by-step tutorials, the book covers essential topics such as computer vision, natural language processing, generative models, and large language models, all using Keras' accessible API.
Each chapter emphasizes real-world applications, code readability, and debugging strategies, ensuring that readers not only understand the theory but also gain the confidence to apply deep learning to diverse challenges. By the end, readers will have built a robust portfolio of projects and developed the skills to scale, tune, and deploy deep learning solutions in production environments. Whether you're aiming to break into AI or advance your expertise, this book is your gateway to modern deep learning with Python and Keras
Each chapter emphasizes real-world applications, code readability, and debugging strategies, ensuring that readers not only understand the theory but also gain the confidence to apply deep learning to diverse challenges. By the end, readers will have built a robust portfolio of projects and developed the skills to scale, tune, and deploy deep learning solutions in production environments. Whether you're aiming to break into AI or advance your expertise, this book is your gateway to modern deep learning with Python and Keras
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