Visualization of convolutional networks and neural style transfer

Abstract In this section we will present some advances in the visualization and understanding of convolutional networks. We will discuss how the different activation elements in a network correspond to specific image patches of an input image. We will also discuss about how textures in images are coded in a trained network. And finally, we will see how using these two visualization ideas result in the creation of artistic images that combine content and style in a very appealing form.

Class: 

Data Science 2: Advanced Topics in Data Science

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