Usc Ee569
Coursework for EE569 (Digital Image Processing) at USC for the Spring 2021 Semester
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Zalando Fashion Mnist | 19 | 4 years ago | Jupyter Notebook | |||||||
| Evaluation of fashion-MNIST with a simple cnn | ||||||||||
| Live Digit Recognition | 15 | 2 years ago | JavaScript | |||||||
| 🔢 Computer will recognize the digits you wrote on a beautiful web-interface | ||||||||||
| Handwritten Digit Recognition | 10 | 7 months ago | 2 | mit | Jupyter Notebook | |||||
| This project demonstrates Handwritten digit recognition using Deep Learning | ||||||||||
| Automated Scoring Of Handwritten Test Papers | 8 | 5 months ago | mit | Python | ||||||
| Extract handwritten information like name, student ID and then recognize them with CRNN-CTC-Attention. Using lexicon search on class list to help teacher on updating score faster | ||||||||||
| Fashion Mnist Accuracy 93.4 | 7 | 6 years ago | apache-2.0 | Jupyter Notebook | ||||||
| Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. I trained Convolutional Neural Networks over the training data and achieved Validation Accuracy of 93% and Test Accuracy 93.4% | ||||||||||
| Usc Ee569 | 5 | a year ago | C++ | |||||||
| Coursework for EE569 (Digital Image Processing) at USC for the Spring 2021 Semester | ||||||||||
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