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Our Code

Our Git repository can be viewed and cloned with this link:  â€‹

https://github.com/deedstho/ImageProcessing.git

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content_reconstruction.m

This script performs gradient descent on a white noise image to reproduce and input image.

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one_layer_net.m

This function is called in big_test.m. It runs single layer CNN forwards and backwards.

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starterCode.m

This code demonstrates 2D convolution performed by a small convolutional neural network.

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loss.m

This helper function computes the content loss function described in “A Neural Algorithm of Artistic Style”.

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der_loss.m

This helper function computes the gradient of the content loss function described in “A Neural Algorithm of Artistic Style”.

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read_and process.m

This helper function pre-processes a JPG as described in “A Neural Algorithm of Artistic Style”.

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create_white_noise.m

This helper function produces a white noise image used for gradient descent.

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