Deep Holiday Manipulation

Noah Walsh

Noah Walsh

Maryland

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Train a deep convolutional neural network classifier on holiday images and use the deep dream technique to manipulate non-holiday images to appear more festive. ...learn more

Project status: Under Development

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Overview / Usage

Train a deep convolutional neural network classifier on a custom dataset of holiday images and use the deep dream technique to manipulate non-holiday images to appear more festive. This is the first instance of using a deep dream image manipulation technique on holiday images, and this can lead to improved holiday filters for holidays like Christmas, Hanukkah, New Year's Eve, and others.

Methodology / Approach

Train the Inception V3 network in Keras on a dataset of holiday images such as Christmas Trees, Santa Clauses and Fireworks, and save the weights to be uploaded to a second Inception V3 network and adjust the activations in each layer, the gradient step size, and other parameters to produce a desired output.

Technologies Used

Keras, Tensorflow, Numpy, Pillow, Pandas, Scipy, Python

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