Skip to content

Latest commit

 

History

History
35 lines (23 loc) · 1.64 KB

developer_guide_repositories_anchor_python_training.md

File metadata and controls

35 lines (23 loc) · 1.64 KB
title tags keywords sidebar permalink folder
Source Repository - anchor-python-training
architecture, packages, repositories
developer_guide_sidebar
developer_guide_repositories_anchor_python_training.html
developer_guide

Introduction

A Python source repository on GitHub. It provides functions for training Convolutional Neural Network (CNN) models from images.

What belongs in the repository?

{% include tip.html content="It should include: Python scripts/functionality for training convolutional-neural-network (CNN) models from images." %}

{% include warning.html content="It should not include: Python scripts/functionality for inference, visualization or non-training purposes, or non-Python code." %}

Documentation

Documentation is automatically generated from master branch using Sphinx for public modules and classes.

Code Structure

  • Each entry-point script is found in the top-level directory.
  • Each top-level directory contains a package, to be loaded using from packagename import style (see Coding Style).

Entry-point scripts

| Package | Description | |------------|------------------|-------------:|-------------:| | train_autoencoder.py | Plots / exports a histogram from the CSVs produced by an Anchor export. |

{% include links.html %}