The following pages link to Machine learning terms:
Displayed 250 items.
- Convolution (← links)
- Convolutional filter (← links)
- Convolutional layer (← links)
- Convolutional neural network (← links)
- Convolutional operation (← links)
- Data augmentation (← links)
- Depthwise separable convolutional neural network (sepCNN) (← links)
- Downsampling (← links)
- Image recognition (← links)
- Intersection over union (IoU) (← links)
- Keypoints (← links)
- Landmarks (← links)
- Random policy (← links)
- Reinforcement learning (RL) (← links)
- Replay buffer (← links)
- Return (← links)
- Reward (← links)
- State-action value function (← links)
- State (← links)
- Tabular Q-learning (← links)
- Target network (← links)
- Termination condition (← links)
- Trajectory (← links)
- LSTM (← links)
- Long Short-Term Memory (LSTM) (← links)
- RNN (← links)
- Centroid-based clustering (← links)
- Centroid (← links)
- Clustering (← links)
- Divisive clustering (← links)
- Exploding gradient problem (← links)
- Forget gate (← links)
- Gradient clipping (← links)
- Hierarchical clustering (← links)
- Pooling (← links)
- Recurrent neural network (← links)
- Rotational invariance (← links)
- Sequence model (← links)
- Size invariance (← links)
- Spatial pooling (← links)
- Stride (← links)
- Subsampling (← links)
- Timestep (← links)
- Translational invariance (← links)
- Vanishing gradient problem (← links)
- Bayesian neural network (← links)
- Bayesian optimization (← links)
- Cloud TPU (← links)
- Average precision (← links)
- Baseline (← links)
- Batch normalization (← links)
- Bias (math) or bias term (← links)
- Boosting (← links)
- Broadcasting (← links)
- Calibration layer (← links)
- Candidate generation (← links)
- Candidate sampling (← links)
- Checkpoint (← links)
- Co-adaptation (← links)
- Collaborative filtering (← links)
- Confirmation bias (← links)
- Convenience sampling (← links)
- Convex function (← links)
- Convex optimization (← links)
- K-means (← links)
- K-median (← links)
- Similarity measure (← links)
- Sketching (← links)
- Time series analysis (← links)
- Dataset API (tf.data) (← links)
- Co-training (← links)
- Convex set (← links)
- Cost (← links)
- Counterfactual fairness (← links)
- Coverage bias (← links)
- Cross-entropy (← links)
- Cross-validation (← links)
- Data analysis (← links)
- Data parallelism (← links)
- Decision boundary (← links)
- Decision threshold (← links)
- Deep neural network (← links)
- Demographic parity (← links)
- Dense layer (← links)
- Derived label (← links)
- Device (← links)
- Dimension reduction (← links)
- Dimensions (← links)
- Discriminative model (← links)
- Discriminator (← links)
- Disparate impact (← links)
- Disparate treatment (← links)
- Dropout regularization (← links)
- Eager execution (← links)
- Estimator (← links)
- GAN (← links)
- Earth mover's distance (EMD) (← links)
- Empirical risk minimization (ERM) (← links)
- Ensemble (← links)
- Equality of opportunity (← links)
- Equalized odds (← links)
- Experimenter's bias (← links)
- Fairness constraint (← links)
- Fairness metric (← links)
- False negative rate (← links)
- Feature extraction (← links)
- Feature spec (← links)
- Federated learning (← links)
- Feedforward neural network (FFN) (← links)
- Few-shot learning (← links)
- Fine tuning (← links)
- Full softmax (← links)
- Fully connected layer (← links)
- Generalized linear model (← links)
- Generative adversarial network (GAN) (← links)
- Generative model (← links)
- Generator (← links)
- Gradient (← links)
- IoU (← links)
- Keras (← links)
- Kernel Support Vector Machines (KSVMs) (← links)
- Layers API (tf.layers) (← links)
- Graph (← links)
- Graph execution (← links)
- Group attribution bias (← links)
- Hallucination (← links)
- Hashing (← links)
- Heuristic (← links)
- Hinge loss (← links)
- Holdout data (← links)
- Hyperplane (← links)
- Implicit bias (← links)
- In-group bias (← links)
- Incompatibility of fairness metrics (← links)
- Independently and identically distributed (i.i.d) (← links)
- Individual fairness (← links)
- Instance (← links)
- Inter-rater agreement (← links)
- Item matrix (← links)
- Items (← links)
- Least squares regression (← links)
- Logits (← links)
- Mean Absolute Error (MAE) (← links)
- Mean Squared Error (MSE) (← links)
- Metrics API (tf.metrics) (← links)
- Momentum (← links)
- NaN trap (← links)
- NumPy (← links)
- Loss surface (← links)
- Matplotlib (← links)
- Matrix factorization (← links)
- Metric (← links)
- Mini-batch stochastic gradient descent (← links)
- Minimax loss (← links)
- Model capacity (← links)
- Model training (← links)
- Multi-class logistic regression (← links)
- Multinomial classification (← links)
- Multinomial regression (← links)
- Node (TensorFlow graph) (← links)
- Noise (← links)
- Non-response bias (← links)
- Novelty detection (← links)
- Objective (← links)
- Objective function (← links)
- One-shot learning (← links)
- PR AUC (area under the PR curve) (← links)
- Parameter Server (PS) (← links)
- SavedModel (← links)
- Saver (← links)
- Operation (op) (← links)
- Optimizer (← links)
- Out-group homogeneity bias (← links)
- Outlier detection (← links)
- Outliers (← links)
- Oversampling (← links)
- Parameter update (← links)
- Partial derivative (← links)
- Participation bias (← links)
- Partitioning strategy (← links)
- Perceptron (← links)
- Performance (← links)
- Pipeline (← links)
- Pre-trained model (← links)
- Precision-recall curve (← links)
- Precision (← links)
- Prediction bias (← links)
- Predictive parity (← links)
- Predictive rate parity (← links)
- Preprocessing (← links)
- Prior belief (← links)
- Probabilistic regression model (← links)
- Proxy (sensitive attributes) (← links)
- Quantile (← links)
- Quantile bucketing (← links)
- Quantization (← links)
- Queue (← links)
- Rank (Tensor) (← links)
- Rank (ordinality) (← links)
- Ranking (← links)
- Re-ranking (← links)
- Recall (← links)
- Recommendation system (← links)
- Reporting bias (← links)
- Representation (← links)
- Ridge regularization (← links)
- Root directory (← links)
- Sampling bias (← links)
- Scalar (← links)
- Scaling (← links)
- Scikit-learn (← links)
- Scoring (← links)
- Selection bias (← links)
- Self-supervised learning (← links)
- TPU (← links)
- TPU Pod (← links)
- TPU chip (← links)
- TPU device (← links)
- TPU master (← links)
- TPU node (← links)
- TPU resource (← links)
- TPU slice (← links)
- TPU type (← links)
- TPU worker (← links)
- Tensor (← links)
- TensorBoard (← links)
- TensorFlow (← links)
- TensorFlow Playground (← links)
- TensorFlow Serving (← links)
- Tensor Processing Unit (TPU) (← links)
- Tensor rank (← links)
- Tensor shape (← links)
- Tensor size (← links)
- Wasserstein loss (← links)
- Weighted Alternating Least Squares (WALS) (← links)
- Self-training (← links)
- Semi-supervised learning (← links)
- Sensitive attribute (← links)
- Serving (← links)
- Shape (Tensor) (← links)
- Sparsity (← links)
- Squared hinge loss (← links)
- Step (← links)
- Step size (← links)
- Structural risk minimization (SRM) (← links)
- Summary (← links)
- Target (← links)
- Temporal data (← links)
- Test set (← links)
- Tf.Example (← links)