transfer learning
Research problem in machine learning (ML) that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem.
- Type of
- machine learning
- Instance of
- paradigm
Connected
More concepts & methods
- decision tree learningalgorithm that recursively splits data on attributes to build a tree for classification or regression
- autoregressive modelrepresentation of a type of random process
- self-supervised learningclass of machine learning techniques in which a task is solved based on pseudo-labels which help initialize weights the weight, then the actual task is performed with supervised or unsupervised learning
- feedforward neural networkartificial neural network in which connections between the nodes do not form a cycle
- quantum machine learningQuantum Machine Learning combines quantum computing and ML to enhance algorithms, leveraging unique quantum properties, like superposition and entanglement , for efficient problem-solving.
- ensemble learningin machine learning, the use of multiple algorithms to obtain better predictive performance than from any of the constituent learning algorithms alone
Sources
- Wikidata Q6027324 (structured facts, CC0)
- Wikipedia