TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning, Bharath Ramsundar, Reza Zadeh

Learn how to solve challenging machine learning problems with TensorFlow, Googleâ??s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the properties of potential medicines.

TensorFlow for Deep Learning

teaches concepts through practical examples and helps you build knowledge of deep learning foundations from the ground up. Itâ??s ideal for practicing developers with experience designing software systems, and useful for scientists and other professionals familiar with scripting but not necessarily with designing learning algorithms.

Learn TensorFlow fundamentals, including how to perform basic computation

Build simple learning systems to understand their mathematical foundations

Dive into fully connected deep networks used in thousands of applications

Turn prototypes into high-quality models with hyperparameter optimization

Process images with convolutional neural networks

Handle natural language datasets with recurrent neural networks

Use reinforcement learning to solve games such as tic-tac-toe

Train deep networks with hardware including GPUs and tensor processing units

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