3 Questions
What is symbolic AI?
A collection of methods in artificial intelligence research
What is Nabla_b?
A tensor library used to perform convolutions
What is cosine similarity?
A measurement that quantifies the similarity between two or more vectors
Study Notes
- Symbolic AI is the term for the collection of all methods in artificial intelligence research that are based on high-level human-readable representations of problems, logic and search.
- Reinforcement learning can be defined as a mapping from states to actions, where the agent learns to associate positive or negative reinforcement with specific behaviors.
- Edge segmentation is the task of detecting edges in images.
- Nabla_b is a tensor library that is used to perform convolutions.
- The euclidean distance is a measure of the distance between points in euclidean space.
- Cosine similarity is a measurement that quantifies the similarity between two or more vectors, by measuring the cosine of the angle between them.
- Convolution is the application of a filter or a kernel to a signal.
- The ai winters and when were they are periods of reduced funding and interest in artificial intelligence research.
Test your knowledge of symbolic AI, reinforcement learning, edge segmentation, tensor libraries, distances, similarity measurements, convolution, and AI winters.
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