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https://github.com/chinmayrane16/fashion-mnist-accuracy-93.4-
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%
https://github.com/chinmayrane16/fashion-mnist-accuracy-93.4-
convolutional-neural-networks deep-learning image-classification image-processing keras
Last synced: 10 days ago
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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%
- Host: GitHub
- URL: https://github.com/chinmayrane16/fashion-mnist-accuracy-93.4-
- Owner: Chinmayrane16
- License: apache-2.0
- Created: 2018-08-29T16:48:22.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2018-08-29T17:29:21.000Z (about 6 years ago)
- Last Synced: 2024-10-10T19:10:14.535Z (27 days ago)
- Topics: convolutional-neural-networks, deep-learning, image-classification, image-processing, keras
- Language: Jupyter Notebook
- Homepage:
- Size: 927 KB
- Stars: 11
- Watchers: 1
- Forks: 4
- Open Issues: 0