dlmacedo / SVM-CNN
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.
☆70Updated 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
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆62Updated 6 years ago
- Using CNN features, SVM classifier and Transfer Learning☆12Updated 9 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…☆31Updated 6 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
- Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.☆33Updated 7 years ago
- Classify MNIST image dataset into 10 classes. Build an image classifier with Recurrent Neural Network (RNN: LSTM) on Tensorflow.☆89Updated 8 years ago
- In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…☆98Updated 6 years ago
- An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification☆385Updated 2 years ago
- Ensembling ConvNets using Keras☆75Updated 6 years ago
- mnist classification with tensorflow ( nn, cnn, lstm, nlstm, bi-lstm, cnn-rnn)☆108Updated 8 years ago
- Synthetic Minority Over-sampling Technique☆38Updated 8 years ago
- 卷积神经网络提取特征并用于SVM//www.cnblogs.com/chuxiuhong/p/6132814.html☆15Updated 6 years ago
- http://learnandshare645.blogspot.hk/2016/06/3d-cnn-in-keras-action-recognition.html☆70Updated 8 years ago
- keras_example_with_confusion_matrix☆21Updated 7 years ago
- Image Feature Extraction and Classification Using Python☆114Updated 8 years ago
- Simple example showing how to use intermediate CNN layer activations as feature vectors for training a linear SVM, to create a custom im…☆33Updated 9 years ago
- AdaboostExample☆43Updated 5 years ago
- RBM/DBN implementation with tensorflow attempt project☆80Updated 9 years ago
- Simple Python Adaboost Implementation☆25Updated 4 years ago
- Feature fusion using Canonical Correlation Analysis (CCA)☆49Updated 5 years ago
- about how to use CNN with one dimensional signal☆29Updated 6 years ago
- here is my implementation of the basic googLeNet describe in the paper "Going Deeper with Convolutions" in keras☆39Updated 7 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:☆23Updated 10 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆11Updated 6 years ago
- Classify various radiology images into respective categories.Being done using various shape and texture features for feature extraction a…☆10Updated 8 years ago
- HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS☆170Updated 5 months ago
- An Architecture Combining CNN and SVM for Image Classification☆17Updated 6 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)…☆66Updated 6 years ago
- Code examples for training AlexNet using Keras and Theano☆107Updated 8 years ago