What is Deep Learning?
Deep Learning — A subset of machine learning based on artificial neural networks with multiple layers.
Deep learning uses neural networks with many layers (hence ‘deep’) to automatically learn features from raw data. Unlike traditional ML which requires manual feature engineering, deep learning models discover relevant patterns on their own given enough data and compute.
Frequently Asked Questions
How is deep learning different from machine learning?
Machine learning is the broader field. Deep learning is a subset that uses multi-layer neural networks. Traditional ML often requires hand-crafted features, while deep learning learns features automatically.
When should I use deep learning vs. traditional ML?
Use deep learning for unstructured data like images, text, and audio. Traditional ML often works better for structured/tabular data with clear features and smaller datasets.
Does deep learning require a lot of data?
Generally yes. Deep learning thrives with large datasets. For small datasets, traditional ML or transfer learning from pre-trained deep learning models are often more effective.