Difference between revisions of "Model Search"
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* [http://www.asimovinstitute.org/author/fjodorvanveen/ Neural Network Zoo | Fjodor Van Veen] | * [http://www.asimovinstitute.org/author/fjodorvanveen/ Neural Network Zoo | Fjodor Van Veen] | ||
* [http://thenextweb.com/news/best-ai-model-for-your-problem-try-neural-architecture-search Need to find the best AI model for your problem? Try neural architecture search | Ben Dickson - TDW] NAS algorithms are efficient problem solvers | * [http://thenextweb.com/news/best-ai-model-for-your-problem-try-neural-architecture-search Need to find the best AI model for your problem? Try neural architecture search | Ben Dickson - TDW] NAS algorithms are efficient problem solvers | ||
| + | ** [http://bdtechtalks.com/2022/02/28/what-is-neural-architecture-search/ What is neural architecture search (NAS)? | Ben Dickson - TechTalks] | ||
An alternative to manual design is “neural architecture search” (NAS), a series of machine learning techniques that can help discover optimal neural networks for a given problem. Neural architecture search is a big area of research and holds a lot of promise for future applications of deep learning. | An alternative to manual design is “neural architecture search” (NAS), a series of machine learning techniques that can help discover optimal neural networks for a given problem. Neural architecture search is a big area of research and holds a lot of promise for future applications of deep learning. | ||
Revision as of 20:22, 6 March 2022
YouTube search... ...Google search
- AI Solver
- Architectures
- Optimizer
- Algorithms
- Neural Network Zoo | Fjodor Van Veen
- Need to find the best AI model for your problem? Try neural architecture search | Ben Dickson - TDW NAS algorithms are efficient problem solvers
An alternative to manual design is “neural architecture search” (NAS), a series of machine learning techniques that can help discover optimal neural networks for a given problem. Neural architecture search is a big area of research and holds a lot of promise for future applications of deep learning.
Search spaces for deep learning
