ELEKTRONN2¶
ELEKTRONN2 is a Python-based toolkit for training 3D/2D CNNs and general neural networks.
Note
ELEKTRONN2 is being superceded by the more flexible, PyTorch-based elektronn3 library. elektronn3 is actively developed and supported, so we encourage you to use it instead of ELEKTRONN2 (if elektronn3’s more experimental status and currently less extensive documentation are acceptable for you).
Tutorial¶
Code examples for creating, training and deploying neural networks with ELEKTRONN2.
API documentation¶
Auto-generated documentation from docstrings and signatures.
ELEKTRONN2 consists of 4 main sub-modules:
neuromancer
: Classes and functions for designing neural network modelstraining
: Training neural networksdata
: Reading and processing data setsutils
: Utility functions and data structures
- elektronn2.neuromancer package
- Submodules
- elektronn2.neuromancer.computations module
- elektronn2.neuromancer.graphmanager module
- elektronn2.neuromancer.graphutils module
- elektronn2.neuromancer.loss module
- elektronn2.neuromancer.model module
- elektronn2.neuromancer.neural module
- elektronn2.neuromancer.node_basic module
- elektronn2.neuromancer.optimiser module
- elektronn2.neuromancer.variables module
- elektronn2.neuromancer.various module
- Submodules
- elektronn2.training package
- elektronn2.data package
- elektronn2.utils package