delira - A Backend Agnostic High Level Deep Learning Library

Getting Started

• Getting started
  • Backends
  • Installation

Tutorials:

• Delira Introduction
  • Loading Data
  • Models
  • Abstract Networks for specific Backends
  • Training
  • Logging
  • More Examples
• Classification with Delira - A very short introduction
  • Logging and Visualization
  • Data Preparation
  • Training
  • See Also
• Generative Adversarial Nets with Delira - A very short introduction
  • HyperParameters
  • Logging and Visualization
  • Data Preparation
  • Training
  • See Also
• Segmentation in 2D using U-Nets with Delira - A very short introduction
  • Logging and Visualization
  • Data Praparation
  • Training
  • See Also
• Segmentation in 3D using U-Nets with Delira - A very short introduction
  • Logging and Visualization
  • Data Praparation
  • Training
  • See Also
• How To: Integrate your own Computation Backend
  • Model Definitions
  • Saving and loading
  • A Trainer to train
  • Wrapping it all in an Experiment
  • Testing it

API Documentation:

• API Documentation
  • Delira
    • Data Loading
      • Arbitrary Data
        • Dataset
        • Dataloader
        • Datamanager
        • Utils
      • Nii
      • Sampler
    • IO
    • Logging
    • Models
      • Chainer
      • SciKit-Learn
      • TensorFLow Eager Execution
      • TensorFlow Graph Execution
      • PyTorch
      • TorchScript
    • Training
      • Parameters
      • Network Trainer
      • Predictor
      • Experiment
      • Backends
        • Chainer
        • SciKit-Learn
        • TensorFlow Eager Execution
        • Tensorflow Graph Execution
        • PyTorch
        • TorchScript
      • Callbacks
      • Losses
      • Metrics
      • Utilities
    • Utilities
    • Backend Resolution
    • Debug Mode
    • Class Hierarchy Diagrams
• GitHub

Indices and tables

• Index

• Module Index

• Search Page