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Contents:

  • Welcome To AshPy!
    • AshPy
      • Quick Example
      • Features
      • Set up
        • Pip install
        • Source install
      • Usage
        • Classifier
      • GAN - Generative Adversarial Network
      • Dataset Output Format
      • Test
  • Write The Docs!
    • The Whys
      • Why Sphinx?
      • Why reST?
      • Why Google Style for Docstrings?
    • Documentation Architecture
      • Tutorials, Guides, Complex Examples
      • API Reference
        • Automate all the docs!
        • Autosummary & submodules with imports: A painful story
      • Inheritance Diagrams
    • Additional Materials
  • Getting Started
    • Datasets
      • Classification
      • GANs
    • Models
      • Using an AshPy model
      • Creating a Model
      • Inheriting from ashpy.models.Conv2DInterface
    • Creating a new Trainer
    • Complete Examples
      • Classifier
      • GANs
        • BiGAN
        • MNIST
        • Facades (Pix2Pix)
  • Advanced AshPy
    • Custom Metrics
      • Wrapping Keras Metrics
      • Creating your own Metric
        • Custom Computation inside Metric.update_state()
    • Custom Callbacks
  • AshPy Internals
    • Context
      • Classifier Context
      • GAN Context
      • GANEncoder Context
    • Executor
      • An Executor Example
  • API Reference
    • ashpy.ashtypes
    • ashpy.callbacks
      • Callback
      • CounterCallback
      • LogClassifierCallback
      • Event
      • LogImageGANCallback
      • LogImageGANEncoderCallback
      • SaveCallback
      • SaveFormat
      • SaveSubFormat
      • callback
        • Callback
      • classifier
        • LogClassifierCallback
      • counter_callback
        • CounterCallback
      • events
        • Event
      • gan
        • LogImageGANCallback
        • LogImageGANEncoderCallback
      • save_callback
        • SaveCallback
        • SaveFormat
        • SaveSubFormat
    • ashpy.contexts
      • Context
      • ClassifierContext
      • GANContext
      • GANEncoderContext
      • context
        • Context
      • classifier
        • ClassifierContext
      • gan
        • GANContext
        • GANEncoderContext
    • ashpy.keras
      • losses
        • DHingeLoss
        • DLeastSquare
        • DMinMax
        • GHingeLoss
        • L1
    • ashpy.layers
      • InstanceNormalization
      • Attention
    • ashpy.losses
      • Executor
      • SumExecutor
      • ClassifierLoss
      • GANExecutor
      • AdversarialLossType
      • GeneratorAdversarialLoss
      • DiscriminatorAdversarialLoss
      • GeneratorBCE
      • GeneratorLSGAN
      • GeneratorL1
      • GeneratorHingeLoss
      • FeatureMatchingLoss
      • CategoricalCrossEntropy
      • Pix2PixLoss
      • Pix2PixLossSemantic
      • EncoderBCE
      • DiscriminatorMinMax
      • DiscriminatorLSGAN
      • DiscriminatorHingeLoss
      • ashpy.losses.gan.get_adversarial_loss_discriminator
      • ashpy.losses.gan.get_adversarial_loss_generator
      • classifier
        • ClassifierLoss
      • executor
        • Executor
        • SumExecutor
      • gan
        • ashpy.losses.gan.get_adversarial_loss_discriminator
        • ashpy.losses.gan.get_adversarial_loss_generator
        • AdversarialLossType
        • CategoricalCrossEntropy
        • DiscriminatorAdversarialLoss
        • DiscriminatorHingeLoss
        • DiscriminatorLSGAN
        • DiscriminatorMinMax
        • EncoderBCE
        • FeatureMatchingLoss
        • GANExecutor
        • GeneratorAdversarialLoss
        • GeneratorBCE
        • GeneratorHingeLoss
        • GeneratorL1
        • GeneratorLSGAN
        • Pix2PixLoss
        • Pix2PixLossSemantic
    • ashpy.metrics
      • Metric
      • ClassifierLoss
      • ClassifierMetric
      • DiscriminatorLoss
      • GeneratorLoss
      • EncoderLoss
      • InceptionScore
      • EncodingAccuracy
      • SlicedWassersteinDistance
      • SSIM_Multiscale
      • classifier
        • ClassifierLoss
        • ClassifierMetric
      • gan
        • DiscriminatorLoss
        • EncoderLoss
        • EncodingAccuracy
        • GeneratorLoss
        • InceptionScore
      • metric
        • Metric
      • sliced_wasserstein_metric
        • SingleSWD
        • SlicedWassersteinDistance
      • ssim_multiscale
        • SSIM_Multiscale
    • ashpy.models
      • convolutional
        • Conv2DInterface
        • Decoder
        • FCNNDecoder
        • Encoder
        • FCNNEncoder
        • Autoencoder
        • FCNNAutoencoder
        • UNet
        • SUNet
        • ashpy.models.convolutional.unet.FUNet
        • MultiScaleDiscriminator
        • PatchDiscriminator
        • LocalEnhancer
        • GlobalGenerator
        • autoencoders
        • discriminators
        • decoders
        • encoders
        • interfaces
        • unet
        • pix2pixhd
      • fc
        • FCInterface
        • Decoder
        • Encoder
        • Autoencoder
        • autoencoders
        • decoders
        • encoders
        • interfaces
      • gans
        • ConvGenerator
        • DenseGenerator
        • ConvDiscriminator
        • DenseDiscriminator
        • ConvEncoder
        • DenseEncoder
    • ashpy.modes
      • LogEvalMode
    • ashpy.restorers
      • Restorer
      • AdversarialRestorer
      • AdversarialEncoderRestorer
      • ClassifierRestorer
      • restorer
        • Restorer
        • ashpy.restorers.restorer.ModelNotConstructedError
      • classifier
        • ClassifierRestorer
      • gan
        • AdversarialEncoderRestorer
        • AdversarialRestorer
    • ashpy.trainers
      • Trainer
      • AdversarialTrainer
      • EncoderTrainer
      • trainer
        • Trainer
      • classifier
        • ClassifierTrainer
      • gan
        • AdversarialTrainer
        • EncoderTrainer
  • Dependencies Graph
    • ashpy.callbacks
      • Events
    • ashpy.models
      • Convolutional
      • GANs
    • ashpy.trainers
      • Adversarial
      • Classifier
    • ashpy.restorers
    • ashpy.layers
      • Layers
    • ashpy.losses
      • Classifier Losses
      • GAN Losses
    • ashpy.metrics
      • Classifier Metrics
      • GAN Metrics
  • About
AshPy
  • Docs »
  • API Reference »
  • ashpy.models »
  • gans
  • Edit on GitHub

gansΒΆ

GANs Models.

Generators

ConvGenerator alias of ashpy.models.convolutional.decoders.Decoder
DenseGenerator alias of ashpy.models.fc.decoders.Decoder

Discriminators

ConvDiscriminator alias of ashpy.models.convolutional.encoders.Encoder
DenseDiscriminator alias of ashpy.models.fc.encoders.Encoder

Encoders

ConvEncoder alias of ashpy.models.convolutional.encoders.Encoder
DenseEncoder alias of ashpy.models.fc.encoders.Encoder
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