mélytanuláson

Mélytanulás, often translated as deep learning, is a subfield of machine learning that focuses on algorithms inspired by the structure and function of the human brain known as artificial neural networks. These networks consist of multiple layers of interconnected nodes, or neurons, which process and transform data. The "deep" in deep learning refers to the significant number of these layers, allowing the model to learn increasingly abstract representations of the input data.

The process of deep learning typically involves training a neural network on a large dataset. During training, the network adjusts the weights of its connections between neurons to minimize errors in its predictions. This iterative adjustment allows the network to identify complex patterns and features within the data that might be difficult or impossible for humans to discern manually.

Deep learning has achieved remarkable success in various domains. It powers image and speech recognition systems, natural language processing tasks like translation and text generation, and is instrumental in areas like autonomous driving and medical diagnosis. The effectiveness of deep learning is largely attributed to its ability to automatically learn hierarchical representations, where lower layers learn simple features (e.g., edges in an image) and higher layers combine these to recognize more complex concepts (e.g., objects).