CNNGenetic
CNN Trainer
Trains CNNs using a genetic algorithm for classification problems where one class per sample is allowed.
Training convolutional neural networks using the genetic algorithm.
22 stars
5 watching
6 forks
Language: Python
last commit: over 2 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| | Trains artificial neural networks using the genetic algorithm | 241 |
| | A Python implementation of a Convolutional Neural Network from scratch using NumPy for building CNNs from scratch | 577 |
| | A tool for exploring and optimizing the architecture of Convolutional Neural Networks using a Genetic Algorithm | 218 |
| | Trains PyTorch models using a genetic algorithm | 96 |
| | A Python library implementing a genetic algorithm for optimizing machine learning algorithms and neural networks. | 1,905 |
| | Trains Keras models using the Genetic Algorithm | 36 |
| | An implementation of artificial neural networks using NumPy | 98 |
| | A deep learning framework implementation of higher-order graph convolutional architectures and their applications | 403 |
| | An evolutionary algorithm for designing neural networks in Keras | 951 |
| | A Python library for training neural networks with focus on hydrological applications using PyTorch. | 372 |
| | Improves GAN training efficiency by incorporating data augmentation | 1,286 |
| | A minimal C library for training and using feedforward artificial neural networks | 2,017 |
| | An implementation of a character-based convolutional neural network for text classification. | 259 |
| | This repository provides code for training Generative Adversarial Networks (GANs) for various image datasets, including face generation. | 285 |
| | An implementation of fully convolutional networks in Chainer, a deep learning framework. | 218 |