Mastering Deep Learning with TensorFlow: From Beginner to Expert

Author(s): Niklas Lang

Originally published on Towards AI.

Photo by Drew Dizzy Graham on Unsplash

TensorFlow, or TF for short, is a framework for Deep Learning and Artificial Intelligence that was developed by Google and initially only used internally. For several years now, however, it has been open-source and can be used in many programming languages, such as Python.

TensorFlow is an open-source framework from Google for creating Machine Learning models. Although the software is written in C++, it is otherwise language-independent and can therefore be used very easily in various programming languages. For many users, the library has now become the standard for Machine Learning, since common models can be built comparatively simply. In addition, state-of-the-art ML models can also be used via TF, such as various transformers.

Via TensorFlow Keras (High-Level API), individual neural networks can additionally be built without having to program the respective layers by hand. This makes TF usable and customizable for a wide variety of applications. In addition, it offers a variety of free introductory courses and examples on its own website, which further facilitate work with the framework.

The name TensorFlow may seem a bit strange at first since there is no direct connection to Machine Learning. However, the name comes from the so-called tensors,… Read the full blog for free on Medium.

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Published via Towards AI