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- TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
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TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
TensorFlow for Deep Learning is a comprehensive guide to solving complex machine learning problems using Google's revolutionary software library.
With this book, you will learn how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the properties of potential medicines.
The author, Bharath Ramsundar, is a PhD student at Stanford University with extensive experience in deep-learning drug discovery.
This book provides practical examples and builds knowledge of deep learning foundations from the ground up, making it ideal for practicing developers and scientists.
Don't miss out on this opportunity to master TensorFlow and unlock your full potential in machine learning!
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