Visualization of experiment system configure.

|@|~(^,^)~|@|

Visualization of experiment loss.

|@|~(^,^)~|@|

Comparison about optimization of loss that composed of four batch sizes, L1 0.0 loss, L2 0.5 loss, 100 Z latent size, and Vanilla-GAN using Fashion-MNIST dataset. i) AdaDelta, ii) Adagrad, iii) Adam, a) Origin loss, b) Smooth loss, c) Correction loss.

|@|~(^,^)~|@|

Comparison about optimization of loss that composed of four batch sizes, L1 0.0 loss, L2 0.5 loss, 100 Z latent size, and Vanilla-GAN using Fashion-MNIST dataset. i) AdaDelta, ii) Adagrad, iii) Adam.

|@|~(^,^)~|@|

Compare of batch size on smooth loss in optimization process using MNIST dataset on learning rate 0.0007, L1 0.0 loss, L2 0.75 loss, and 1000 Z latent space size in Adam decay. a) 16 batch size, b) 32 batch size, c) 64 batch size, i) Non Weight decay, ii) Weight decay.

|@|~(^,^)~|@|

Smooth correction, learning rate 0.0007, 4 batch sizes, L1 0.0 loss, L2 0.0 loss, 100 Z latent space size, Adagrad optimizer, LSGAN, analysis of effects on various batch sizes with initial distribution for model optimization. a) Gumbel distribution, b) logistic distribution, i) 4 batch size, ii) 16 batch size, iii) 32 batch size, iv) 64 batch size.

|@|~(^,^)~|@|

The performance of the dependency analysis in color image generation measures psnr of various distributions over 8 batch sizes. a) Smooth method, b) Smooth correction, i) Random distribution, ii) Laplace distribution, iii) Logistic distribution, iv) Gumbel distribution.

|@|~(^,^)~|@|

Analysis of smooth correction about the effect of various other loss methods by batch size 4, Z latent space 100, scale correction coefficient at Alpha 2.0, Gamma 0.25, Vanilla-GAN, CIFAR-100 dataset, i) L1 loss and L2 loss about the L1 loss increase, ii) L1 loss and L2 loss about L2 loss increase, iii) L1 loss and L2 loss about L1 loss and L2 loss increase.

|@|~(^,^)~|@|

Learning rate 0.0007, batch size 4, L1 0.25 loss, L2 0.25 loss, Z latent space size 100, Adam optimizer, comparison of the effects of smooth correction loss on the coefficients in the Gumbel distribution in Vanilla-GAN i.a) Alpha 0.25 i.b) Alpha 0.5 i.c) Alpha 0.75 ii.a) Beta 2.0 ii.b) Beta 3.0 ii.c) Beta 4.0

© IJFIS