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--- |
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license: apache-2.0 |
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datasets: |
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- mnist |
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language: |
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- en |
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metrics: |
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- accuracy |
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library_name: keras |
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--- |
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# Description |
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This model is a convolutional neural network built with transfer learning using the pre-trained model 'VGG16.' The 'block5_conv1' layer is retrained, and a final dense layer with 128 neurons is added. |
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The model will be used as a preliminary step in solving Sudokus through linear programming. Model It is responsible for classifying the content of each sudoku cell: |
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- class_0: empty cell |
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- class_1: cell contains the number 1 |
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- class_2: cell contains the number 2 |
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- class_3: cell contains the number 3 |
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- class_4: cell contains the number 4 |
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- class_5: cell contains the number 5 |
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- class_6: cell contains the number 6 |
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- class_7: cell contains the number 7 |
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- class_8: cell contains the number 8 |
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- class_9: cell contains the number 9 |
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The dataset is constructed with balanced classes using images from the famous "MNIST digits classification" dataset, as well as images of numbers written digitally. |
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# Dataset schema |
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The image size it is 28x28 pixels. After applying data augmentation to the dataset, the total number of images is as follows: |
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- Training images: 5,600 |
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- Validation images: 2,400 |
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- Test images: 2,000 |
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Test Accuracy: 0.9810 |
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# Other validations: |
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An initial validation is performed. It remains pending to increase the size of the validations to understand the reliability of the mode |
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<div style="text-align: center;"> |
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<img src="https://i.imgur.com/kdj9udt.jpg" width="300"> |
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</div> |
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</div> |
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The results of the inference are as follows: |
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<div style="text-align: center;"> |
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<img src="https://i.imgur.com/U2MJzH6.jpg" width="500"> |
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</div> |
