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Category:Updated
Pages in category "Updated"
The following 200 pages are in this category, out of 401 total.
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- Bag of words
- Bagging
- Baseline
- Batch normalization
- Bayesian neural network
- Bayesian optimization
- Bellman equation
- BERT (Bidirectional Encoder Representations from Transformers)
- Bias (math) or bias term
- Bidirectional
- Bidirectional language model
- Bigram
- Binary condition
- BLEU (Bilingual Evaluation Understudy)
- Boosting
- Bounding box
- Broadcasting
C
- Calibration layer
- Candidate generation
- Candidate sampling
- Causal language model
- Centroid
- Centroid-based clustering
- Checkpoint
- Cloud TPU
- Clustering
- Co-adaptation
- Co-training
- Collaborative filtering
- Condition
- Confirmation bias
- Confusion matrix
- Convenience sampling
- Convex function
- Convex optimization
- Convex set
- Convolution
- Convolutional filter
- Convolutional layer
- Convolutional neural network
- Convolutional operation
- Cost
- Counterfactual fairness
- Coverage bias
- Crash blossom
- Critic
- Cross-entropy
- Cross-validation
D
- Data analysis
- Data augmentation
- Data parallelism
- Dataset API (tf.data)
- Decision boundary
- Decision forest
- Decision threshold
- Decision tree
- Decoder
- Deep neural network
- Deep Q-Network (DQN)
- Demographic parity
- Denoising
- Dense layer
- Depthwise separable convolutional neural network (sepCNN)
- Derived label
- Device
- Dimension reduction
- Dimensions
- Discriminative model
- Discriminator
- Disparate impact
- Disparate treatment
- Divisive clustering
- Downsampling
- DQN
- Dropout regularization
E
F
G
I
L
- L1 loss
- L1 regularization
- L2 loss
- L2 regularization
- Label
- Labeled example
- Lambda
- LaMDA (Language Model for Dialogue Applications)
- Landmarks
- Language model
- Large language model
- Layers API (tf.layers)
- Leaf
- 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
- 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 stochastic gradient descent
- Minimax loss
- 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