Welcome to Fabrik’s documentation!

Fabrik is an online collaborative platform to build, visualize and train deep learning models via a simple drag-and-drop interface. It allows researchers to collaboratively develop and debug models using a web GUI that supports importing, editing and exporting networks written in widely popular frameworks like Caffe, Keras, and TensorFlow.

Contents:

• How to setup
  • Usage
  • Example
• Basics of Using the Exported Keras Model
  • Example¹
• Use exported model in Keras
  • To export the model for Keras in Fabrik
  • Load the exported model in python and show it’s summary.
• List of all models for which import/export has been tested with Fabrik.
  • Recognition
  • Detection
  • Retrieval
  • Seq2Seq
  • Captioning
• Segmentation
  • Miscellaneous
• Using an Exported Caffe Model
• Use exported model in Caffe
  • To export the model for Caffe in Fabrik
  • Load the exported model in python and show it’s parameters and output sizes.
• Adding New Layers
  • Basics for adding a new layer
  • Detailed overview of a layer
  • Making the layer visible in Fabrik
  • Adding layer handling to the backend
  • Testing and pushing the new layer.

Indices and tables

• Index
• Module Index
• Search Page