Neural Network (DIY)
This package enables network designers to build, simulate, and customize their own neural networks. It supports both recursive and non-recursive network architectures. Each layer is contained as a separate subclass (e.g., lconv is the convolutional layer, llstm is the long short-term memory layer), therefore enabling researchers to create their own custom layers and incorporate that into the network architecture. Two application examples (handwritten digit recognition and speech recognition) are provided.
Citation pour cette source
Alan Tan (2024). Neural Network (DIY) (https://www.mathworks.com/matlabcentral/fileexchange/67750-neural-network-diy), MATLAB Central File Exchange. Récupéré le .
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- AI, Data Science, and Statistics > Deep Learning Toolbox > Sequence and Numeric Feature Data Workflows >
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Utils
Version | Publié le | Notes de version | |
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1.3 | Edited the version information |
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1.2.0.0 | Edited the description |
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1.1.0.0 | Edited the description |
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1.0.0.0 |