Definition #
Machine learning method inspired by the human brain’s structure, using artificial neural networks with multiple layers.
Key Characteristics #
- Hierarchical feature learning
- Requires large datasets
- GPU-accelerated training
Why It Matters #
Powers breakthroughs in image/speech recognition and autonomous systems.
Examples #
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
FAQs #
Q: How does deep learning differ from traditional ML?
A: Automatically learns features without manual engineering, handling more complex tasks.