dyplæringsbasert

Dyplæringsbasert refers to something that is based on or utilizes deep learning. Deep learning is a subfield of machine learning that uses artificial neural networks with multiple layers (deep architectures) to learn and represent data. These networks are inspired by the structure and function of the human brain's neural networks.

The core idea behind deep learning is to automatically learn hierarchical representations of data. Lower layers in a deep neural network learn simple features, and as the data passes through subsequent layers, these features are combined to form more complex and abstract representations. This allows deep learning models to effectively process and understand intricate patterns in large datasets, such as images, audio, and text.

Applications of dyplæringsbasert systems are widespread and include image recognition, natural language processing (like translation and text generation), speech recognition, autonomous driving, and medical diagnosis. The "basert" suffix indicates that deep learning is the fundamental technology or methodology employed in the system or approach being described. It signifies a reliance on the capabilities of deep neural networks for achieving a particular outcome or performing a specific task.