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Semi-supervised Learning: Uses a mix of labeled and unlabeled data. Onder DL: A specialized form of Machine Learning using deep artificial neural networks (with many layers) to model complex patterns in large datasets. Deep learning: Dit zijn artificiële neurale netwerken, geïnspireerd op de opbouw van het biologische brein. Deze algoritmes bestaan uit verschillende lagen, waarbij elke laag nieuwe eigenschappen leert van de gegevens. Neem bijvoorbeeld het herkennen van een kat: door algoritmes te voorzien van veel voorbeelden, leren ze kenmerken (vacht, poten, ogen, oren) te herkennen. Ze kunnen zichzelf trainen en verder verbeteren. Andere voorbeelden waarbij deep learning wordt toegepast zijn de zelfrijdende auto en realtime spraakvertaling. CNN: Convolutional Neural Networks (CNNs), bijvoorbeeld voor afbeeldingen. RNN: Recurrent Neural Networks Transformers: voor sequences (text, audio) Handles unstructured data (images, audio, text) and powers advanced AI like self-driving cars, speech recognition, and generative AI.
A close-up view of an intricate neural network, comprising numerous small, glowing blue neurons connected by a dense mesh of thin, wire-like tendrils. The neurons are depicted as irregular, multifaceted shapes, some appearing more bulbous and others more elongated, all rendered with a fine, wireframe-like texture that gives them a transparent, luminous quality. The connections between these neurons are also translucent blue lines, forming a complex, interwoven web that fills the entire frame. The background is completely black, creating a stark contrast that emphasizes the glow and interconnectedness of the neural structures. The overall impression is that of a complex, glowing biological or artificial network, possibly representing a brain or an advanced computing system. The lighting appears to emanate from within the blue structures, highlighting their edges and creating a sense of depth and three-dimensionality. The network is dense and fills the entire image, with no discernible beginning or end, suggesting an expansive and continuous system.