by Michele Laurelli
A subset of machine learning using neural networks with multiple layers to learn hierarchical representations of data.
Deep learning models automatically learn features from raw data through multiple layers of abstraction. Each layer learns increasingly complex representations, from simple edges to complex objects. Requires large datasets and computational power.
Image classification with CNNs
Language models like GPT
Speech recognition systems