Deep Learning
A subset of machine learning that uses multi-layered neural networks (deep neural networks) to model complex patterns in large amounts of data.
Deep Learning is a specialized branch of machine learning that uses artificial neural networks with many layers (hence “deep”) to progressively extract higher-level features from raw input. It has been responsible for most of the recent breakthroughs in AI.
Key characteristics:
- Requires large amounts of data and significant computational power
- Automatically discovers feature representations without manual engineering
- Excels at tasks like image recognition, natural language processing, and speech synthesis
Deep learning powers technologies like ChatGPT, DALL-E, self-driving cars, and voice assistants. Popular deep learning frameworks include PyTorch, TensorFlow, and JAX.
Read more in Guide: The History of Artificial Intelligence: From Dartmouth to GPT-4