# GACNN

**Repository Path**: layzzz/GACNN

## Basic Information

- **Project Name**: GACNN
- **Description**: GACNN: TRAINING DEEP CONVOLUTIONAL NEURAL NETWORKS WITH GENETIC ALGORITHM
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-06-17
- **Last Updated**: 2021-06-17

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# GACNN
Based on [GACNN: TRAINING DEEP CONVOLUTIONAL NEURAL NETWORKS WITH GENETIC ALGORITHM](https://arxiv.org/pdf/1909.13354.pdf)
* *GA* is the parent class.
* *SteadyStateGA*, *GenerationalGA* and *ElitismGA* inherit from *GA*.
* *testXXX.py* test different GA schemes mentioned above.
* *DataMgr.py* helps load and write data.
* *GradientDescentCNN.ipynb* trains traditional CNN optimized by adam.

For more detail, please go to [my blog](https://blog.csdn.net/m0_37343611/article/details/102895738)

Have fun!