Logo
stable

Table of Contents

  • 1. Documentation Variations
  • 2. The Open Software License 3.0 (OSL-3.0)
  • 3. Fully Homomorphic Encryption
  • 4. Installation
  • 5. Examples
  • 6. Neural Network
  • 7. Traversal
  • 8. Layers
    • 8.1. Fully Connected Dense Net (ANN)
    • 8.2. Convolutional Neural Network (CNN)
  • 9. Activations
  • 10. Optimisers
  • 11. Loss Functions
  • 12. Operations
Python-FHEz
  • »
  • 8. Layers
  • Edit on GitLab

8. Layers

Layers Status

Category

Name

Docs

Forward

Backward

nn layer

Artificial (ANN)

Fully Connected Dense Net (ANN)

Whole-single-example-cyphertext compatibility

Whole-single-example-cyphertext compatibility

nn layer

Convolutional (CNN)

Convolutional Neural Network (CNN)

Whole-single-example-cyphertext compatibility

Whole-single-example-cyphertext compatibility

nn layer

Recurrent (RNN)

section_rnn

Implementation in progress

Implementation in progress

Neural Network Layers

  • 8.1. Fully Connected Dense Net (ANN)
    • 8.1.1. ANN Equations
      • 8.1.1.1. ANN
      • 8.1.1.2. ANN Derivatives
    • 8.1.2. ANN API
  • 8.2. Convolutional Neural Network (CNN)
    • 8.2.1. CNN Equations
      • 8.2.1.1. CNN Derivatives
    • 8.2.2. Kernel-Masquerade
    • 8.2.3. Hadmard Product
    • 8.2.4. Commuted-Sum
      • 8.2.4.1. CNN API
Previous Next

© Copyright 2021, George Onoufriou (GeorgeRaven, archer, DreamingRaven). Revision 996e59a2.

Built with Sphinx using a theme provided by Read the Docs.