Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python
貴賓價: $1,617Deep Learning (Hardcover)
貴賓價: $1,330Effective Python: 59 Specific Ways to Write Better Python (Paperback)
貴賓價: $1,663Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques for Building Intelligent Systems
貴賓價: $1,853Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence (Undergraduate Topics in Computer Science)
貴賓價: $1,425Python Machine Learning Second Edition
貴賓價: $1,408Hands-On Android UI Development: Design and develop attractive user interfaces for Android applications
貴賓價: $1,330Linux Device Drivers, 3/e (Paperback)
貴賓價: $1,558Introduction to Algorithms, 3/e (IE-Paperback)
Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own.
Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you to get up to speed quickly using TensorFlow and to optimize different deep learning architectures.
All of the practical aspects of deep learning that are relevant in any industry are emphasized in this book. You will be able to use the prototypes demonstrated to build new deep learning applications. The code presented in the book is available in the form of iPython notebooks and scripts which allow you to try out examples and extend them in interesting ways.
You will be equipped with the mathematical foundation and scientific knowledge to pursue research in this field and give back to the community.
What You'll Learn
- Understand full stack deep learning using TensorFlow and gain a solid mathematical foundation for deep learning
- Deploy complex deep learning solutions in production using TensorFlow
- Carry out research on deep learning and perform experiments using TensorFlow
Who This Book Is For
Data scientists and machine learning professionals, software developers, graduate students, and open source enthusiasts