Expanded Explanation
Deep Learning refers to machine learning with neural networks that have many layers. It is the technology behind image recognition, speech recognition, and large language models like ChatGPT and Gemini.
Simple explanation
Stack lots of small pattern-detectors on top of each other, and the deeper ones learn increasingly abstract ideas.
Technical explanation
Deep networks are typically feed-forward, convolutional or transformer-based, trained with backpropagation and stochastic gradient descent on large labeled or self-supervised datasets.
Simple Examples
- Convolutional networks classifying images.
- Transformer models powering ChatGPT and Claude.
- Speech-to-text systems in phones and cars.