Deep learning is a field which comes under Machine Learning.
In this blog post, we have listed all the important full forms used in Deep Learning. Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers.
LIST OF TERMS AND ABBREVIATIONS in Deep Learning.
| Terms | Abbreviations |
| AHCR | Arabic Handwritten Character Recognition |
| CCR | Chinese Character Recognition |
| CNN | Convolutional Neural Networks |
| DBN | Deep Belief Network |
| DNN | Deep Neural Network |
| HCR | Handwritten Character Recognition |
| ILSVRC | ImageNet Large Scale Visual Recognition Challenge |
| ISIDCHAR | Indian Statistical Institute Devanagiri Character Database |
| MCDNN | Multi Column Deep Neural Network |
| NLPR | National Laboratory of Pattern Recognition |
| OCR | Optical Character Recognition |
| SVM | Support Vector Machines |
| VGG | Visual Geometry Group |
| AE | Auto-Encoder |
| AI | Artificial intelligence |
| ANN | Artificial Neural Networks |
| AUC | Area-under-the-receiver operation characteristics curve |
| AUC-PR | Area-under-the-precision–recall curve |
| BRNN | Bidirectional recurrent neural network |
| CAE | Convolutional auto-encoder |
| CCSD | Coupled-Cluster Singles Doubles with perturbative triples |
| CGCNN | Crystal Graph Convolutional Neural Networks |
| CNN | Convolutional neural network |
| DBN | Deep belief network |
| DNN | Deep neural network |
| DST-NN | Deep spatio-temporal neural network |
| ECG | Electrocardiography |
| ECoG | Electrocorticography |
| EEG | Electroencephalography |
| EMG | Electromyography |
| EOG | Electrooculography |
| GCNN | Graph Convolutional Neural Network |
| GRU | Gated recurrent unit |
| LSTM | Long short-term memory |
| MD-RNN | Multi-dimensional recurrent neural network |
| MLP | Multilayer perceptron |
| MRI | Magnetic resonance image |
| PCA | Principal component analysis |
| PET | Positron emission tomography |
| PSSM | Position specific scoring matrix |
| RBM | Restricted Boltzmann machine |
| ReLU | Rectified linear unit |
| RNN | Recurrent neural network |
| SAE | Stacked auto-encoder |
| SGD | Stochastic gradient descent |
| SMILES | Simplified Molecular Input Line Entry System |
| AE | Auto-Encoder |
| AI | Artificial intelligence |
| ANN | Artificial Neural Networks |
| AUC | Area-under-the-receiver operation characteristics curve |
| AUC-PR | Area-under-the-precision–recall curve |
| BRNN | Bidirectional recurrent neural network |
| CAE | Convolutional auto-encoder |
| CCSD | Coupled-Cluster Singles Doubles with perturbative triples |
| CGCNN | Crystal Graph Convolutional Neural Networks |
| CNN | Convolutional neural network |
| DBN | Deep belief network |
| DNN | Deep neural network |
| DST-NN | Deep spatio-temporal neural network |
| ECG | Electrocardiography |
| ECoG | Electrocorticography |
| EEG | Electroencephalography |
| EMG | Electromyography |
| EOG | Electrooculography |
| GCNN | Graph Convolutional Neural Network |
| GRU | Gated recurrent unit |
| LSTM | Long short-term memory |
| MD-RNN | Multi-dimensional recurrent neural network |
| MLP | Multilayer perceptron |
| MRI | Magnetic resonance image |
| PCA | Principal component analysis |
| PET | Positron emission tomography |
| PSSM | Position specific scoring matrix |
| RBM | Restricted Boltzmann machine |
| ReLU | Rectified linear unit |
| RNN | Recurrent neural network |
| SAE | Stacked auto-encoder |
| SGD | Stochastic gradient descent |
| SMILES | Simplified Molecular Input Line Entry System |