dlmacedo / SVM-CNNLinks
A feature extractor based on Python 3, Tensorflow, and Scikit-learn created to improve the SVM accuracy to classify the MNIST dataset fast and with more accuracy.
☆71Updated 2 years ago
Alternatives and similar repositories for SVM-CNN
Users that are interested in SVM-CNN are comparing it to the libraries listed below
Sorting:
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆62Updated 6 years ago
- In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…☆99Updated 6 years ago
- Script to extract CNN deep features with different ConvNets, and then use them for an Image Classification task with a SVM classifier wit…☆30Updated 7 years ago
- This application uses LIBSVM and PIL to perform image classification on a set of images.☆88Updated 9 years ago
- A practical example on how to combine both a CNN and a RNN to classify images.☆53Updated 8 years ago
- An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification☆391Updated 2 years ago
- Ensembling ConvNets using Keras☆75Updated 6 years ago
- HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS☆170Updated 10 months ago
- mnist classification with tensorflow ( nn, cnn, lstm, nlstm, bi-lstm, cnn-rnn)☆109Updated 8 years ago
- RBM/DBN implementation with tensorflow attempt project☆80Updated 9 years ago
- Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.☆33Updated 8 years ago
- cnn+rnn: vgg(vgg16,vgg19)+rnn(LSTM, GRU), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU), inception_v4+rnn(LSTM, GRU)…☆67Updated 7 years ago
- Training a convolutional neural network using own picture dataset☆106Updated 6 years ago
- http://learnandshare645.blogspot.hk/2016/06/3d-cnn-in-keras-action-recognition.html☆70Updated 8 years ago
- Classify MNIST image dataset into 10 classes. Build an image classifier with Recurrent Neural Network (RNN: LSTM) on Tensorflow.☆90Updated 8 years ago
- Using CNN features, SVM classifier and Transfer Learning☆12Updated 9 years ago
- Code examples for training AlexNet using Keras and Theano☆107Updated 8 years ago
- In this project, I will demonstrate how to combine Genetic Algorithm with Convolutional Neural Network☆43Updated 6 years ago
- girishp92 / Human-activity-recognition-using-Recurrent-Neural-Nets-RNN-LSTM-and-Tensorflow-on-SmartphonesThis was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learnin…☆85Updated 8 years ago
- cdSRC(Class-Dependent Sparse Representation Classifier) 基于类别的稀疏表示分类器的简单实现,MATLAB代码版本。下面是原论文地址:☆24Updated 10 years ago
- Convolutional and LSTM networks to classify human activity☆463Updated 6 years ago
- This repo shows how to finetune a ResNet50 model for your own data using Keras.☆159Updated 8 years ago
- Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras☆162Updated 2 years ago
- Few Shot Learning by Siamese Networks, using Keras.☆194Updated 5 years ago
- deep belief network toolbox written in Matlab, including algorithms of unsupervised feature learning, deep learning, and general machine …☆18Updated 12 years ago
- keras_example_with_confusion_matrix☆21Updated 7 years ago
- Keras- Multi Label Image Classification☆400Updated 3 years ago
- Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)☆181Updated 9 years ago
- Face identification with cnn+triplet-loss written by Keras.☆48Updated 7 years ago
- Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type …☆321Updated 2 years ago