
Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machinelearning 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. It’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 highquality 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 tictactoe

Train deep networks with hardware including GPUs and tensor processing units



    Python Data Analysis
Key Features

Find, manipulate, and analyze your data using the Python 3.5 libraries

Perform advanced, highperformance linear algebra and mathematical calculations with clean and efficient Python code

An easytofollow guide with realistic examples that are frequently used in realworld data...

