Pinned Repositories
EGG
EGG: Emergence of lanGuage in Games
FIND
FIND: search For Inductive biases IN Deep seq2seq
AdaBoost_M2_MNIST
Perform Boosting feedforward neural networks on MNIST database using AdaBoost.M2. Adaboost.M2 is a mutliclass boosting algorithm
AdaBoost_M2_momentumNesterov
Perform Boosting feedforward neural networks on MNIST database using AdaBoost.M2. We added momentum and momentum Nesterov gradient descent to train the neural network
AdaBoost_OneVsAll
Perform Boosting feedforward neural networks on MNIST database using AdaBoost. As AdaBoost performs only binary classification, we create 10 classifiers (one for each digit) and apply the OneVsAll to classify the example
EGG
EGG: Emergence of lanGuage in Games
FIND
FIND: search For Inductive biases IN Deep seq2seq
guides
Hog_transfomation
Apply HOG_transformation on MNIST digits to extract features and apply SVM on the new extracted features.
rahmacha.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
rahmacha's Repositories
rahmacha/EGG
EGG: Emergence of lanGuage in Games
rahmacha/AdaBoost_M2_MNIST
Perform Boosting feedforward neural networks on MNIST database using AdaBoost.M2. Adaboost.M2 is a mutliclass boosting algorithm
rahmacha/AdaBoost_M2_momentumNesterov
Perform Boosting feedforward neural networks on MNIST database using AdaBoost.M2. We added momentum and momentum Nesterov gradient descent to train the neural network
rahmacha/AdaBoost_OneVsAll
Perform Boosting feedforward neural networks on MNIST database using AdaBoost. As AdaBoost performs only binary classification, we create 10 classifiers (one for each digit) and apply the OneVsAll to classify the example
rahmacha/FIND
FIND: search For Inductive biases IN Deep seq2seq
rahmacha/guides
rahmacha/Hog_transfomation
Apply HOG_transformation on MNIST digits to extract features and apply SVM on the new extracted features.
rahmacha/rahmacha.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes