LeNet-5
by Academic ResearchLeNet-5 is a pioneering convolutional neural network developed by Yann LeCun and colleagues in 1998. It was designed for handwritten digit recognition and is considered one of the foundational architectures in deep learning, establishing many patterns still used in modern CNNs.
Specifications
- Released
- January 1998
Capabilities
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