What is Tensorflow?

Tensorflow is an open-source program library that can be used to easily train, test and develop neural networks. It uses the largest programming languages, such as PythonJava, JavaScript, C, C++ and Swift are supported out of the box, but there are third-party libraries for many others. In the meantime, the library has become the standard for developing neural network models. The name Tensorflow comes from the fact that multi-dimensional data (tensors) are used as input and then run through several intermediate levels. These can be selected during programming, e.g. convolutional layers can be used (keyword: Convolutional Neural Networks) and the activation functions can be adapted.

Is Tensorflow also suitable for programming beginners?

With the affiliation of KerasWith the addition of Google Brain, a further API (programming interface) for artificial intelligence, to the existing application, it should be even easier for users to configure the existing machine learning algorithms for their own purposes and applications. The detailed documentation created by the developers from the Google Brain team and numerous other tutorials and instructions available free of charge on the Internet can also make it easier for many users to get started with the programming application, or with the field of artificial intelligence in general, and contribute to the great popularity of the software. Nevertheless, users should already have basic programming knowledge and a rough knowledge of neural networks helps to exploit the many possibilities that Tensorflow offers.

Where and what is artificial intelligence used for?

However, Tensorflow is not only popular with beginners in the Big Data and Machine Learning field. Due to the great configurability of the algorithms and many setting options for the neural networks, the software is also widespread in research, at universities and at larger well-known companies. The website presents companies such as Airbus, Google, Intel, CocaCola and Spotify, which make use of the available programming tools to, for example, personalise suggestions for users, automatically extract information from images or optimise process flows.

Advantages over other deep learning software

In addition to the advantages already mentioned, the special Nvidia Cuda GPU support can be decisive for the use of the library. The fact that one can programme the artificial intelligence interface via Google Collaboratory is another plus point. Due to the wide distribution, users can also expect regular updates so that compatibility with new versions of the supported programming languages is maintained. The debugging method should also be a great help to programmers and thus offers another argument for choosing Tensorflow.