Deep learning: Difference between revisions
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imported>Doug Williamson (Create page - source - IBM - https://www.ibm.com/uk-en/topics/deep-learning) |
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* [[Generative pre-trained transformer]] (GPT) | * [[Generative pre-trained transformer]] (GPT) | ||
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[[Category:Risk_frameworks]] | [[Category:Risk_frameworks]] | ||
[[Category: | [[Category:The_business_context]] | ||
Latest revision as of 22:16, 4 December 2023
Information technology - software - machine learning - neural networks.
Deep learning is a type of machine learning.
In deep learning, the learning method is based on emulating a human brain and using a neural network.
Its applications include advanced fraud detection and self-driving vehicles.
See also
- Artificial intelligence (AI)
- Artificial super-intelligence (ASI)
- Bot
- Chatbot
- ChatGPT
- Data
- Data labelling
- Deepfake
- Fraud
- Generative pre-trained transformer (GPT)
- GPT-4
- Human-in-the-loop
- Information technology
- Language model
- Large language model (LLM)
- Machine learning
- Natural language
- Natural language processing
- Neural network
- Reinforcement Learning from Human Feedback (RLHF)
- Robotics
- Software
- Software robot
- Supervised learning
- Unsupervised learning
