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GitHub / rajpatel1412 / Handwritten-Number-DIgitizer-MNIST-dataset-for-CNN-machine-learning-CMPT412-

This is a Matlab implementation of a Convolution Neural network (CNN) that has been trained with the MNIST dataset to recognize handwritten numbers. Some of the functionality was implemented with the help of Yasutake Furukawa in the Computer Vision (CMPT412) class at SFU

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rajpatel1412%2FHandwritten-Number-DIgitizer-MNIST-dataset-for-CNN-machine-learning-CMPT412-
PURL: pkg:github/rajpatel1412/Handwritten-Number-DIgitizer-MNIST-dataset-for-CNN-machine-learning-CMPT412-

Stars: 1
Forks: 0
Open issues: 0

License: None
Language: MATLAB
Size: 23.3 MB
Dependencies parsed at: Pending

Created at: over 2 years ago
Updated at: 8 months ago
Pushed at: 8 months ago
Last synced at: 8 months ago

Topics: cnn-for-visual-recognition, matlab, visual-computing

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