Deep Learning
Deep Learning is a branch of machine learning that uses multi-layer neural networks to learn hierarchical representations from raw data.
What is Deep Learning?
Deep Learning models stack many layers of artificial neurons. Each layer transforms its input into a higher-level representation, so the network learns features automatically rather than requiring hand-engineered ones. Deep learning underpins modern computer vision, speech recognition, machine translation, and large language models. Training requires large datasets, GPU or TPU compute, and careful regularisation to avoid over-fitting. Inference can run on smaller hardware once the model is trained, but cost and latency depend on model size.
How does Deep Learning apply to enterprise AI?
Enterprises rely on deep learning for OCR pipelines, voice transcription, image classification in claims and medical workflows, and any task that involves unstructured text, image, or audio input.
Related terms
Neural Network
Foundation Model
Large Language Model
External references
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