TensorFlow is an open source software library for building models and training infrastructures using a front-end application. It provides a straightforward way for users to train computers to perform complex tasks by feeding them large amounts of data. This software comes with the ability to implement and integrate machine learning models and simulated “deep learning” neural networks. It also has a “playground area” for interactive learning about how neural networks work.
Even though TensorFlow supports low-level programming interfaces with graphic visualizations abilities, you need to have the basic Python or C++ programming knowledge in order to inspect and tweak your model and training sets. But once you dive in, you’ll discover that this software can read from any Python generator and complex network with a direct and accessible approach. Examples of creative projects made with TensorFlow can be found here.
– Shirin Anlen