Despite the huge availability of data and significant investments, many business organizations still go on gut feel because they neither make the proper use of the data nor do they take appropriate and effective business decisions. TensorFlow, on the other hand, can be used to help take the business decision from this huge collection of data. TensorFlow is mathematical software and an open source software library for Machine Intelligence, developed in 2011 by the Google Brain Team and it can be used to help us analyze data to predict the effective business outcome. Although the initial target of TensorFlow was to conduct research in machine learning and in deep neural networks, however, the system is general enough to be applicable in a wide variety of other domains as well.
Keeping in mind your needs and based on all the latest and exciting features of TensorFlow 1.x, in this lesson, we will give a description of the main TensorFlow capabilities that are mostly motivated by a real-life example using the data.
The following topics will be covered in this lesson:
From data to decision: Titanic example
General overview of TensorFlow
Installing and configuring TensorFlow
TensorFlow computational graph
TensorFlow programming model
TensorFlow data model
Visualizing through TensorBoard
Getting started with TensorFlow: linear regression and beyond