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v0.1.3

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)
  • API Reference
    • ashpy.ashtypes
    • ashpy.contexts
      • BaseContext
      • ClassifierContext
      • GANContext
      • GANEncoderContext
      • base_context
        • BaseContext
      • 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
        • BaseDecoder
        • FCNNBaseDecoder
        • BaseEncoder
        • FCNNBaseEncoder
        • BaseAutoencoder
        • FCNNBaseAutoencoder
        • UNet
        • SUNet
        • ashpy.models.convolutional.unet.FUNet
        • MultiScaleDiscriminator
        • PatchDiscriminator
        • LocalEnhancer
        • GlobalGenerator
        • autoencoders
        • discriminators
        • decoders
        • encoders
        • interfaces
        • unet
        • pix2pixhd
      • fc
        • FCInterface
        • BaseDecoder
        • BaseEncoder
        • BaseAutoencoder
        • autoencoders
        • decoders
        • encoders
        • interfaces
      • gans
        • ConvGenerator
        • DenseGenerator
        • ConvDiscriminator
        • DenseDiscriminator
        • ConvEncoder
        • DenseEncoder
    • ashpy.modes
      • LogEvalMode
    • ashpy.trainers
      • BaseTrainer
      • AdversarialTrainer
      • EncoderTrainer
      • base_trainer
        • BaseTrainer
      • classifier
        • ClassifierTrainer
      • gan
        • AdversarialTrainer
        • EncoderTrainer
  • AshPy Internals
    • Context
      • Classifier Context
      • GAN Context
      • GANEncoder Context
    • Executor
  • Dependencies Graph
    • ashpy.models
      • Convolutional
      • GANs
    • ashpy.trainers
      • Adversarial
      • Classifier
    • 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.BaseDecoder

DenseGenerator

alias of ashpy.models.fc.decoders.BaseDecoder


Discriminators

ConvDiscriminator

alias of ashpy.models.convolutional.encoders.BaseEncoder

DenseDiscriminator

alias of ashpy.models.fc.encoders.BaseEncoder


Encoders

ConvEncoder

alias of ashpy.models.convolutional.encoders.BaseEncoder

DenseEncoder

alias of ashpy.models.fc.encoders.BaseEncoder

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