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ELEKTRONN2 is being superceded by the more flexible, PyTorch-based elektronn3 library.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).

Introduction¶

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 models
training: Training neural networks
data: Reading and processing data sets
utils: Utility functions and data structures

ELEKTRONN2¶

Introduction¶

Tutorial¶

API documentation¶

Indices and tables¶