TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
by Bharath Ramsundar, Reza Bosagh Zadeh
TensorFlow for Deep Learning presents a structured path into deep learning with TensorFlow, beginning with linear regression and advancing to reinforcement learning. It offers readers an accessible overview of core concepts, techniques, and the progression of modern machine learning.
About This Book
TensorFlow for Deep Learning introduces deep learning through the TensorFlow framework.
The book follows a progression from foundational topics such as linear regression to more advanced areas of machine learning.
Its coverage extends to reinforcement learning, offering readers a broad view of deep learning concepts and methods.
Written by Bharath Ramsundar and Reza Bosagh Zadeh, it is suited to readers looking for a structured guide to TensorFlow and deep learning.
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