TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
by Bharath Ramsundar, Reza Bosagh Zadeh
TensorFlow for Deep Learning guides readers from linear regression fundamentals to sophisticated reinforcement learning using the TensorFlow framework. Authored by Bharath Ramsundar and Reza Bosagh Zadeh, it delivers practical tutorials and code examples to build and deploy deep learning models effectively. Perfect for programmers entering AI and machine learning fields.
About This Book
This book introduces TensorFlow as a powerful framework for deep learning applications. It starts with basic concepts like linear regression and builds toward more complex topics.
Authors Bharath Ramsundar and Reza Bosagh Zadeh provide structured guidance for learners at various levels. The content emphasizes hands-on implementation using TensorFlow's tools and libraries.
Explore a range of deep learning paradigms, including neural networks and optimization methods. The progression to reinforcement learning offers insights into dynamic, decision-making models.
Ideal for developers and researchers seeking to apply deep learning in real-world scenarios. The book focuses on practical coding and conceptual understanding without unnecessary complexity.
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