# What is Deep Learning? Definition & Technical Mechanics

> **Source:** [SPIDITS AI AI Glossary](https://spidits.com/ai-glossary)  
> **Category:** Foundational AI  
> **Canonical Citation:** [https://spidits.com/ai-glossary/deep-learning](https://spidits.com/ai-glossary/deep-learning)

## Definition
Deep Learning is a subset of machine learning based on artificial neural networks with multiple layers (hence "deep"). These layers extract high-level features progressively from raw input, enabling automated feature learning without manual engineering.

## Architectural Mechanics & Deep Dive
Deep learning is a subset of machine learning based on artificial neural networks with multiple hidden layers (hence "deep"). By stacking layers of non-linear transformations, deep learning models automatically extract high-level, hierarchical features from raw inputs (such as pixels or raw text) without manual feature engineering. It is the core technology behind modern breakthroughs in computer vision, natural language processing, speech recognition, and generative AI.

## Industry Applications & Real-World Use Cases
Natural language processing, computer vision, and autonomous driving

## Frequently Asked Questions

### What is the difference between machine learning and deep learning?
Machine learning requires manual feature extraction and selection. Deep learning extracts features automatically through its hidden layers.

### Why has deep learning exploded in popularity recently?
Due to the exponential growth of available digital data and the development of massive compute architectures like GPUs.

## Related Terminology
- [machine-learning](https://spidits.com/ai-glossary/machine-learning)
- [neural-network](https://spidits.com/ai-glossary/neural-network)
- [gpu](https://spidits.com/ai-glossary/gpu)

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*From the SPIDITS AI Knowledge Base (336+ terms indexed). Explore full technical definitions: [https://spidits.com/ai-glossary](https://spidits.com/ai-glossary)*