# python-cnn

**Repository Path**: dalerxli/python-cnn

## Basic Information

- **Project Name**: python-cnn
- **Description**: Python scripts for generating data set and training a CNN for solving the ill-conditioned inverse Mie scattering problem.
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2020-04-11
- **Last Updated**: 2022-08-28

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# python-cnn
Python package for CNN pipelines

Four folders contains different steps for the workflow:

1 ./data_generate contains scripts for geneating 2-D near field, far field and traditional Mie scattering simulations.

2 ./data_loader constains scripts for loading, splitting, cropping and adding noise to the raw data.

3 ./model_training contains scripts for training different types of CNN, multi-training pipeline and noise-sensitivity test pipeline.

4 ./model_evaluation contains scripts that plot 3-D visualization of the accuracy for the trained model, or geneates an animation for the dataset.

Please pull chis repository and include it in Python path before running any script.