ELEKTRONN2¶
ELEKTRONN2 is a Python-based toolkit for training 3D/2D CNNs and general neural networks.
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
- Module contents
- elektronn2.training package
- elektronn2.data package
- elektronn2.utils package