Training the Archive

A tag labels a data set with additional information.

Targeted extraction of information from the source code of websites to make the desired content available locally for further use. To scrape the image files of a museum using an API is one example of its application.

A high-level programming language with which, among other things, machine learning can be programmed. It is characterised by an easy-to-read, concise programming style. It is often used in science because it is comparatively easy to learn and offers good integration of scientific libraries. The name is derived from the British comedy group Monty Python.

Describes a sample design of the end product to be developed. In software development, a prototype template is adapted to the needs of the user and thus continually developed in iterative cycles.

In short: PoC. From project management. PoC is proof that a project is feasible in principle, e.g. by means of a prototype. Starting from this milestone, further work can be completed on the project.

Describes the recognition of regularities, repetitions and similarities in a large amount of data to facilitate facial, speech or text recognition, for instance.

The term describes the development of a model using special learning algorithms that draw on a large amount of training data. The ‘knowledge’ generated can be used for predictions or recommendations.

Short for »artificial neural network.« Just like AI, the term is coined after the biological model of the human brain. The artificial networks consist of a model of neurons with the aim of processing information. This designation provokes a humanisation (anthropomorphism).

Short for »artificial intelligence.« The term should be viewed critically, as it represents a humanisation (anthropomorphism). In actuality, it currently refers exclusively to »machine learning.«

Is an open deep-learning library, similar to TensorFlow, written in Python and open source. The library can be used in a particularly meaningful way when a certain ANN pre-trained by means of transfer learning are applied to one’s own tasks. This, however, creates dependence on external training.