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dcgan.yml
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dcgan.yml
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discriminator: &discriminator
typename: Sequential
args:
layer_configs:
- typename: Conv2D
args:
scope: disc_layer1/Conv2D
filter_width: 5
filter_height: 5
n_filters: 64
strides: 2
padding: same
- typename: LeakyReLU
args:
scope: disc_layer1/LeakyReLU
alpha: 0.2
#----------------------------------------
- typename: BatchNormalization
args:
scope: disc_layer1/BN
#----------------------------------------
- typename: Conv2D
args:
scope: disc_layer2/Conv2D
filter_width: 5
filter_height: 5
n_filters: 128
strides: 2
padding: same
- typename: LeakyReLU
args:
scope: disc_layer2/LeakyReLU
alpha: 0.2
#----------------------------------------
- typename: BatchNormalization
args:
scope: disc_layer2/BN
#----------------------------------------
- typename: Conv2D
args:
scope: disc_layer3/Conv2D
filter_width: 5
filter_height: 5
n_filters: 256
strides: 2
padding: same
- typename: LeakyReLU
args:
scope: disc_layer3/LeakyReLU
alpha: 0.2
#----------------------------------------
- typename: BatchNormalization
args:
scope: disc_layer3/BN
#----------------------------------------
- typename: Conv2D
args:
scope: disc_layer4/Conv2D
filter_width: 5
filter_height: 5
n_filters: 512
strides: 2
padding: same
- typename: LeakyReLU
args:
scope: disc_layer4/LeakyReLU
alpha: 0.2
#----------------------------------------
- typename: BatchNormalization
args:
scope: disc_layer4/BN
#----------------------------------------
- typename: Conv2D
args:
scope: disc_layer5/Conv2D
filter_width: 4
filter_height: 4
n_filters: 1
strides: 1
padding: valid
generator: &generator
typename: Sequential
args:
layer_configs:
- typename: Dense
args:
scope: gen_layer0/Dense
n_nodes: 8192
- typename: Reshape
args:
scope: gen_layer0/Reshape
shape: [32, 4, 4, 512]
shape_format: NHWC
- typename: LeakyReLU
args:
scope: gen_layer0/LeakyReLU
alpha: 0.2
#----------------------------------------
- typename: BatchNormalization
args:
scope: gen_layer0/BN
#----------------------------------------
- typename: Conv2DTranspose
args:
scope: gen_layer1/Conv2DTranspose
filter_width: 5
filter_height: 5
n_filters: 512
strides: 2
padding: same
output_shape: [32, 8, 8, 256]
output_shape_format: NHWC
- typename: LeakyReLU
args:
scope: gen_layer1/LeakyReLU
alpha: 0.2
#----------------------------------------
- typename: BatchNormalization
args:
scope: gen_layer1/BN
#----------------------------------------
- typename: Conv2DTranspose
args:
scope: gen_layer2/Conv2DTranspose
filter_width: 5
filter_height: 5
n_filters: 256
strides: 2
padding: same
output_shape: [32, 16, 16, 128]
output_shape_format: NHWC
- typename: LeakyReLU
args:
scope: gen_layer2/LeakyReLU
alpha: 0.2
#----------------------------------------
- typename: BatchNormalization
args:
scope: gen_layer2/BN
#----------------------------------------
- typename: Conv2DTranspose
args:
scope: gen_layer3/Conv2DTranspose
filter_width: 5
filter_height: 5
n_filters: 128
strides: 2
padding: same
output_shape: [32, 32, 32, 64]
output_shape_format: NHWC
- typename: LeakyReLU
args:
scope: gen_layer3/LeakyReLU
alpha: 0.2
#----------------------------------------
- typename: BatchNormalization
args:
scope: gen_layer3/BN
#----------------------------------------
- typename: Conv2DTranspose
args:
scope: gen_layer4/Conv2DTranspose
filter_width: 5
filter_height: 5
n_filters: 64
strides: 2
padding: same
output_shape: [32, 64, 64, 3]
output_shape_format: NHWC
- typename: Sigmoid
args:
scope: gen_layer4/Sigmoid
typename: Container
args:
model_configs:
- << : *discriminator
name: discriminator
- << : *generator
name: generator