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1.Generate digits 0 to 9 by varying the discrete labels from 0 to 9\. Both continuous codes are set to zero. The results are shown in *Figure 6.1.5*. We can see that the InfoGAN discrete code can control the digits produced by the generator:
2.Examine the effect of the first continuous code to understand which attribute has been affected. We vary the first continuous code from -2.0 to 2.0 for digits 0 to 9\. The second continuous code is set to 0.0\.*Figure 6.1.6* shows that the first continuous code controls the thickness of the digit:
1.Varying the discrete labels from 0 to 9 with both noise codes,`z[0]`and`z[1]`sampled from a normal distribution with a mean of 0.5 and a standard deviation of 1.0\. The results are shown in *Figure 6.2.9*. We're able to see that the StackedGAN discrete code can control the digits produced by the generator:
2.Varying the first noise code,`z[0]`, as a constant vector from -4.0 to 4.0 for digits 0 to 9 is shown as follows. The second noise code,`z[1]`, is set to a zero vector. *Figure 6.2.10* shows that the first noise code controls the thickness of the digit. For example, for digit 8:
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