| API |
Application Programming Interface |
API |
| AE |
Auto encoder |
AE |
| AD |
Automatic differentiation |
AD |
| ARD |
Automatic Relevance Determination |
ARD |
| ASR |
Automatic Speech Recognition |
ASR |
| BPTT |
Back propagation through time |
BPTT |
| BPTS |
Backpropagation through structure |
BPTS |
| BNN |
Binary Neural Net |
NN |
| COCO |
Common Objects in Context [Image Library] |
COCO |
| CPPN |
Compositional Pattern-Producing Network |
CPPN |
| CTC |
connectionist temporal classification |
CTC |
| CNN |
Convolutional Neural network |
NN |
| DBN |
Deep Belief Network |
DBN |
| DCGAN |
deep convolutional generative adversarial networks |
GAN |
| DNN |
Deep Neural Network |
NN |
| EBM |
Energy Based Model |
EBM |
| ESP |
Enforced SubPopulations |
ESP |
| ELU |
Exponential Linear Unit |
LU |
| GRU |
Gated Recurrent Unit |
GRU |
| GMM |
Gaussian Mixture Model |
GMM |
| GAN |
Generative Adversarial Network |
GAN |
| GA |
Genetic algorithm |
GA |
| HTM |
Heirarchal temporal memory |
HTM |
| HMM |
Hidden Markov Model |
HMM |
| HAM |
Hierarchical Attentive Memory |
HAM |
| KNN |
k-Nearest Neighbors |
KNN |
| LReLU |
Leaky ReLU |
LU |
| LTU |
Linear Threshold Unit |
LTU |
| LSTM |
Long short-term memory |
LSTM |
| MCMC |
Markov chain Monte Carlo |
MCMC |
| MDP |
Markov Decision Processes |
MDP |
| MNIST |
Modified National Institute of Standards and Technology (database used a lot in ML) |
MNIST |
| MLP |
Multi-layer Perceptrons |
MLP |
| NLP |
Natural Language Processing |
NLP |
| NMT |
neural machine translation |
NMT |
| NTM |
Neural Turing Machine |
NTM |
| NE |
NeuroEvolution |
NE |
| NEAT |
NeuroEvolution of Augmenting Topologies |
NEAT |
| OLS |
Ordinary Least Squares Regression |
OLS |
| PReLU |
Paramaterized ReLU |
LU |
| PCA |
Principal component analysis |
PCA |
| PAC-MDP |
Probably Approximately Correct in Markov Decision Processes |
MDP |
| RTRL |
Real Time Recurrent Learning |
RTRL |
| ReLU |
Rectified Linear Unit |
LU |
| RNN |
Recurrent Neural Network |
NN |
| RNTN |
Recursive Neural Tensor Network |
RNTN |
| RL |
Reinforcement Learning |
RL |
| RVM |
Relevance Vector Machine |
RVM |
| ResNet |
Residual Neural Network |
NN |
| RProp |
resilient backpropagation |
RProp |
| RBM |
Restricted Boltzmann Machines |
RBM |
| SIFT |
Scale-Invariant Feature Transform |
SIFT |
| SRN |
Simple Recurrent Network |
SRN |
| SVD |
singular value decomposition |
SVD |
| SGD |
Stochastic Gradient Descent |
SGD |
| SVM |
Support Vector Machine |
SVM |
| SANE |
Symbiotic Adaptive NeuroEvolution |
SANE |
| TF |
TensorFlow |
TF |
| TFIDF |
Term Frequency Inverse Document Frequency |
TFIDF |
| VLAD |
Vector of Locally Aggregated Descriptors |
VLAD |
| WFST |
Weighted Finite-State Transducers |
WFST |