Week 10 – Deep Dream – Jenny

This week I explored some application of Deep Dream on my own computer. I choose one architectural photograph and manipulated with different parameters. This image does not have any outstanding pattern and I am quite curious about the output image after applying Deep Dream layers.

Input Image

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Parameter 1

step = 0.01 
num_octave = 3 
octave_scale = 1.4 
iterations = 20 
max_loss = 10

(I did not change the mixed features in setting this time)

Output  1

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Parameter 2 

Change step to 0.1 

Output  2

2

Clearly, the generated pattern becomes more outstanding but the sharpness of pixels are increasingly lost. Therefore, I would prefer to say at a lower step and generate the image more times with Deep Dream rather than directly increase the step value.

Parameter 3

Change num_octave to 30

Output  3

I got almost the same result as output 2. The clarity of the image has been decreased sharply. I prefer to stay low for this parameter.

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Parameter 4

Change iterations to 200

Output  4

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There is no much difference with the first output. So I think the time of iteration does not influence much of the output image.

Parameter 5

In the end, in order to get a enormous different from the first output, I changed these parameters as follows. 

step = 0.005 
num_octave = 1
octave_scale = 14.0
iterations = 2000
max_loss = 10.

Output 5

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Compared with output 1, this image has relatively small texture and more shallow color of each pattern. I also found that num_octave cannot be changed to float. So there are some underlying restricts among these parameters. 

By adjusting these parameters, I can actually get different output from Deep Dream. But I think the image I choose does not have various color and an obvious pattern, therefore, the result does not look cool compared with our in-class exercise. 

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