قاموس المُصطلحات العلميّة هو مشروع مستمر نشأ كمبادرة من فريق الذكاء الاصطناعي باللغة العربية تهدف إلى نشر وإتاحة أول قاموس <إنكليزي-عربي> علمي اختصاصي يحوي على مصطلحات علوم الذكاء الاصطناعي.
- يرجى أرفاق رابط القاموس بقائمة المراجع في حال استعماله في ترجمة المصطلحات العلمية
- للاطلاع على قائمة المشاركين في بناء قاموس المُصطلحات العلميّة يرجى زيارة الرابط التالي المشاركين
- Activation Function
- AdaDelta
- AdaGrad
- Adaptive Learning Rate Algorithms
- Adaptive Moment Estimation Algorithm (Adam)
- Adversarial Learning Strategy
- Agglomerative Hierarchical
- Anchor Boxes
- Anomaly Detection
- Artificial Intelligence
- Attention Mechanism
- AutoEncoder
- Automatic Differentiation
- Auxiliar Head
- Auxiliary Loss
- Average Pooling
- Backpropagation
- Backward Chaining
- Bag of Words (BOW)
- Bagging
- Batch
- Batch Normalization
- Bayesian Regression
- Bias
- Binary Cross-Entropy
- Bitwise-and
- Boosting
- Bounding Box
- Boxplot
- Caffe
- Categorical Cross-Entropy
- CBOW
- Classification
- Clean Data
- Code
- Colab
- Compound Model Scaling
- Confidence
- Confusion Matrix
- Continuous Quantitative Variable
- Contour Filtering
- Convolution
- Convolutional Neural Network (CNN)
- Coreference
- Coreference Resolution
- Corpus
- Covariance Matrix
- Cox Regression
- Cross-Entropy
- Cross Validation
- CUDA
- Data Analysis
- Data Augmentation
- Data Pipeline
- Data Visualization
- Dataframe in Pandas
- Date-Related Features
- DBSCAN
- Decision Rules
- Decision Tree
- Decoder
- Deep Learning
- Deep Neural Networks
- Dense Block
- Dense Layer
- Dense Network
- Dependency Parsing
- Depthwise Separable Convolution
- Discrete Quantitative Variable
- Divisive Clustering
- Domain Expert
- Domain Shift Problem
- Domain-Specific Features
- Dot Product
- Double Cross-Validation
- Downsampling
- Dropout
- Early Stopping
- Edge Detection Segmentation
- Eigen Face
- EigenValues
- EigenVector
- Elastic Net Regression
- Embedding Layer
- Emotion Detector
- Encoder
- Encoder-Decoder Attention Layer
- Ensemble
- Entropy
- Epoch
- Expanding Window Feature
- Expectation-Maximization (EM) Clustering using Gaussian Mixture Models (GMM)
- Expert System
- Experta
- Explanation Module
- Extended Efficient Layer Aggregation Network (E-ELAN)
- Face Landmarks Estimation
- Facts
- False Negative
- False Positive
- Fast Region-Based Convolutional Neural Network (Fast R-CNN)
- Faster Region-Based Convolutional Neural Network (Faster R-CNN)
- Feature Engineering
- Feature Map
- Feature Vector
- Feedforward Network
- Filter
- Filter Banks
- Fine-tuning
- Fisherface
- Flat Shaded
- Flatten
- Forecasting
- Foreground Segmentation
- Forward Chaining
- Framework
- Fully Connected Layer
- Fully Convolutional Adaptation Network - FCAN
- Gated Recurrent Unit Network GRU
- Generalization
- Geometric Transformations
- GoogLeNet
- Google's MobileNet
- GrabCut Algorithm
- Grid Search
- Ground-Truth
- Hard Margin
- Heuristic Knowledge
- Hidden State
- Hierarchical Attention Network
- Hierarchical Deep Learning
- Histogram Of Oriented Gradient
- Hyper-Parameter Setting
- Hyper-Parameter Tuning
- Hyper-Parameters
- Hyperlane
- Identity Function
- Image Annotation
- Image Recognition
- Image Segmentation
- Image Segmentation based on Clustering
- IMDB
- Imitation Learning
- Inception Network
- Inference Engine
- Information Retrieval (IR)
- Inliers
- Instance Segmentation
- IRIS Dataset
- Iterative Algorithms
- Jupyter Notebook
- K-Distance
- K-Means Clustering
- Keras
- Kernel
- Kernel Density Plot
- KNN Algorithm
- Knowledge Acquisition
- Knowledge Base
- Knowledge Engineer
- Knowledge Representation
- Label
- Lag Features
- Lasso Regression
- Lead Head
- Learning Rate
- Lemmatization
- Linear regression
- Lineplot
- Local Optima
- Local Outlier Factor
- Logistic Regression
- Long Short Term Memory LSTM
- Loss Function
- Machine Translation
- MagicaVoxel
- Markov Decision Process
- Mask Approximations
- Mask R-CNN
- Matplotlib
- Matrix Multiplication
- Matrix Product
- Max Pooling
- Mean-Shift Algorithm
- Mini-Batch
- Mini-Batch Size
- MNIST Dataset
- MobileNet
- Model Architecture
- Model-based RL
- Module
- Momentum
- MSCOCO
- Multi-Headed Attention
- Multi-Resolution Search
- MxNet
- Named entity recognition (NER)
- Natural Language Toolkit (NLTK)
- Negative Binomial Regression
- Negative Skewed
- Neural Network
- Neural Style Transfer
- N-gram
- Numpy
- Object Detection
- One Hot Encoding
- OpenCv
- Optimizer
- Ordinal Regression
- Outliers
- Overfitting
- Package
- Padding
- Pandas
- Parameter
- Part of Speech
- Partial Least Squares Regression
- Pattern Recognition
- Pixel
- Point Cloud
- Poisson Regression
- Polynomial Features
- Polynomial Regression
- Pooling
- Positional Encoding
- Positive Skewed
- Post Pruning
- Precision
- PrePruning
- Principal Component Analysis
- Principal Components Regression
- Projection Layer
- Pruning
- Purity
- Pytorch
- Quantile Regression
- Quantitative Data
- Qubicle
- Random Erasing
- Random Forest
- Random Multimodel Deep Learning RMDL
- Raw Text
- Re-Parameterization
- Reachability Distance
- Recall
- Rectified Linear Unit (Relu)
- Recurrent Convolutional Neural Networks (RCNN)
- Recurrent Neural Networks RNN
- Reduction Blocks
- Region-Based Convolutional Neural Network (R-CNN)
- Region-based Segmentation
- Region of Interest Align (ROIAlign)
- Region Proposal Network (RPN)
- Regression
- Regularization
- Regularizer
- Reinforcement Learning
- Rendering
- Representational Bottleneck
- Residual Connections
- Residual Network
- RetinaNet
- Reward Function
- Ridge Regression
- RMSPorp
- Rolling Window Feature
- Rules
- Scalar Multiplication
- Scatterplot
- SciPy
- Selective Search
- Self-Attention Layer
- Semantic Reasoning
- Semantic Segmentation
- Sentiment Analysis
- Seq2Seq Model
- Sigmoid
- Single Shot Detector (SSD)
- Single-Shot Detectors
- Skip-Connection
- Skip-Gram
- SKLearn
- Slicing
- Sliding-Window
- Soft Margin
- Softmax
- Spectogram
- Statistical Features
- Stemming
- Stochastic Gradient Descent (SGD)
- Stride
- Style Transfer
- Sub-Version
- Supervised Learning
- Support Vector Machine (SVM)
- Support Vector Regression
- Tanh
- Tensor
- TensorFlow
- Text Analysis
- Text Mining
- TF-IDF
- tf.keras
- Theano
- Time Series
- Token
- Tokenization
- Topic Modeling
- Transfer Learning
- Transformer
- True Negative
- True Positive
- Two-Stage Detectors
- U-net
- Underfitting
- Upsampling
- Validation Loss
- Vanishing Gradient Problem
- Vector Embedding
- Vector Space Modeling
- VGG Network
- Violinplot
- Visual Geometry Group (VGG)
- Voxel
- Voxelshop
- Word Embedding
- Word2Vec
- YOLOv3
- You Only Look Once (YOLO)
