Convolutional Neural Network implementation

CMPT414 Couse project proposal
CNNWBMNIST/TestingCIFARnew.png I'm currently taking CMPT414 model based computational vision. We need to do a final term project. One of my classmates and I formed a team and proposed a project about a neural network specifically for recognizing handwritten digits. Ideally, the final product would take images of handwritten digits and output predicated digit, ranging from [0, 9], with comparatively high accuracy. The product will have various real world applications. One example would be a Chinese postal code reader as in China the ZIP code consists of 5 numeric digits. If more time is available, we would also like to expand our project to real world data. For example, we can use some scanned real handwritten images as the input of the built neural network and see the results. This will involve some image pre-processing techniques, such as noise removal, skew detection and correction, character normalization and so on.
We will mainly focus on the implementation of the algorithm and leave out the UI part. Matlab will be our main programming tool.
MNIST database ( ) will be used as the benchmark for this project. The MNIST database of handwritten digits consists of a training set of 60, 000 examples, and a test set of 10, 000 examples. It has been widely

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