Legendnic / GA-CNN
In this project, I will demonstrate how to combine Genetic Algorithm with Convolutional Neural Network
☆41Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for GA-CNN
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆61Updated 5 years ago
- Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…☆13Updated 6 years ago
- In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…☆96Updated 6 years ago
- Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"☆55Updated 5 years ago
- Particle Swarm Optimization (PSO) to optimize Artificial Neural Network (ANN)☆58Updated 6 months ago
- Keras implementation of Attention Augmented Convolutional Neural Networks☆120Updated 4 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆38Updated 6 years ago
- Code to validate the "Particle swarm optimization of deep neural networks architectures for image classification" paper.☆87Updated 3 years ago
- A feature extractor based on Python 3, Tensorflow, and Scikit-learn created to improve the SVM accuracy to classify the MNIST dataset fas…☆70Updated last year
- Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras☆38Updated 6 years ago
- Bagging, boosting and random forests in Matlab☆24Updated 9 years ago
- Multi heads attention for image classification☆81Updated 6 years ago
- Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data☆26Updated 5 years ago
- Deep Neural Network Ensembles for Time Series Classification☆111Updated last year
- ☆60Updated 7 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 6 years ago
- Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is …☆26Updated 7 years ago
- Using Autoencoder for dimensionality reduction and feature extraction☆15Updated 6 years ago
- Multi-class classification with focal loss for imbalanced datasets☆82Updated 5 years ago
- My solution to the International Skin Imaging Collaboration (ISIC) Challenge 2018 to detect skin cancer from images of lesions using Deep…☆11Updated 5 years ago
- Multivariate Time Series Classification using Dilated Convolutional Neural Network☆10Updated 5 years ago
- Implementation of Densely Connected Convolutional Network with Keras and TensorFlow.☆43Updated 4 years ago
- Extension of the `Attention Augmented Convolutional Networks` paper for 1-D convolution operation.☆25Updated 5 years ago
- Local Receptive Fields Based Extreme Learning Machine☆30Updated 9 years ago
- A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…☆28Updated 6 years ago
- A novel method for few shot learning☆50Updated 5 years ago
- The project aims at comparing results achieved by Particle Swarm Optimization (PSO) and Whale Optimization Algorithm (WOA) in segmentatio…☆14Updated 6 years ago
- Online Sequential Extreme Learning Machine with TensorFlow☆33Updated 8 years ago
- Synthetic Minority Over-sampling Technique☆38Updated 7 years ago