Built a deep learning model trained on MNIST dataset achieving 98% accuracy. Utilized CNNs for feature extraction, implemented image preprocessing and normalization. Evaluated model performance using ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs ...

Handwritten digit identification is an area that requires substantial attention. It is necessary to take into account the differences in handwritten digits’ size, thickness, position, and orientation ...

Citation: Vallejo-Mancero B, Madrenas J and Zapata M (2024) Real-time execution of SNN models with synaptic plasticity for handwritten digit recognition on SIMD hardware.