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Category:Terms
Pages in category "Terms"
The following 200 pages are in this category, out of 510 total.
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L
- L0 regularization
- L1 loss
- L1 regularization
- L2 loss
- L2 regularization
- Label
- Labeled example
- Lambda
- LaMDA (Language Model for Dialogue Applications)
- Landmarks
- Language model
- Large language model
- Layer
- Layers API (tf.layers)
- Leaf
- Learning rate
- Least squares regression
- Linear
- Linear model
- Linear regression
- Log Loss
- Log-odds
- Logistic regression
- Logits
- Long Short-Term Memory (LSTM)
- Loss
- Loss curve
- Loss function
- Loss surface
- LSTM
M
- Machine learning
- Majority class
- Manipulation problem
- Markov decision process (MDP)
- Markov property
- Masked language model
- Matplotlib
- Matrix factorization
- Mean Absolute Error (MAE)
- Mean Squared Error (MSE)
- Meta-learning
- Metric
- Metrics API (tf.metrics)
- Mini-batch
- Mini-batch stochastic gradient descent
- Minimax loss
- Minority class
- MNIST
- Modality
- Model
- Model capacity
- Model parallelism
- Model training
- Momentum
- Multi-class classification
- Multi-class logistic regression
- Multi-head self-attention
- Multimodal model
- Multinomial classification
- Multinomial regression
N
O
- Objective
- Objective function
- Oblique condition
- Offline
- Offline inference
- One-hot encoding
- One-shot learning
- One-vs.-all
- Online inference
- Online learning
- Operation (op)
- Optimizer
- Out-group homogeneity bias
- Out-of-bag evaluation (OOB evaluation)
- Outlier detection
- Outliers
- Output layer
- Overfitting
- Oversampling
P
- Pandas
- Parameter
- Parameter Server (PS)
- Parameter update
- Partial derivative
- Participation bias
- Partitioning strategy
- Perceptron
- Performance
- Permutation variable importances
- Perplexity
- Pipeline
- Pipelining
- PoisonGPT
- Policy
- Pooling
- Positive class
- Post-processing
- PR AUC (area under the PR curve)
- Pre-trained model
- Precision
- Precision-recall curve
- Prediction
- Prediction bias
- Predictive parity
- Predictive rate parity
- Preprocessing
- Prior belief
- Probabilistic regression model
- Prompt
- Prompt engineering
- Prompt engineering for image generation
- Prompt engineering for text generation
- Prompt injection
- Proxy (sensitive attributes)
- Proxy labels
R
- Random forest
- Random policy
- Rank (ordinality)
- Rank (Tensor)
- Ranking
- Rater
- Re-ranking
- Recall
- Recommendation system
- Rectified Linear Unit (ReLU)
- Recurrent neural network
- Regression model
- Regularization
- Regularization rate
- Reinforcement learning (RL)
- ReLU
- Replay buffer
- Reporting bias
- Representation
- Return
- Reward
- Ridge regularization
- RNN
- ROC (receiver operating characteristic) Curve
- Root
- Root directory
- Root Mean Squared Error (RMSE)
- Rotational invariance