Handwritten Digit Recognition Using CNN

Assignment Task

The database contains black and white images representing the digits zero through nine. The data is split into two subsets, with images belonging to the training set and images belonging to the testing set. As it can be seen from the image above, the handwritten digits consist of varying styles and complexities.

1. Number Classification Train a CNN model using Training Set. Then use Testing Set for classification. What is the performance of the trained model in terms of accuracy?

2. Repeat Test 1 with a Validation Process. What is the performance of the trained model in terms of accuracy?

3. Repeat Tests 1 and 2 with different classification methods. What is the performance of the trained model in terms of accuracy? Be sure to compare them against each other in these tasks.

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