Công Cụ Miễn Phí
Danh Mục
Bảng xếp hạng
Gửi Công Cụ

Tiếng Việt

Thuật ngữ

TopAITools

TopAITools, Các Công Cụ AI Hàng Đầu Tốt Nhất

Thuật ngữ|English 简体中文繁體中文 한국어 日本語 Português Español Deutsch Français Tiếng Việt

© 2025 TopAITools. Đã đăng ký bản quyền.

0-9

1-shot learning|5G + AI|6DoF pose estimation|7D representation|8-bit quantization|2-stage detector|4D data|0-shot learning|9-layer network|3D convolution

A

AGI / Artificial General Intelligence|Autoencoder|Attention|Algorithm|Artificial Intelligence (AI)

B

Backpropagation|BERT|Boosting|Batch Normalization|Bias

C

Chatbot|Clustering|CNN / Convolutional Neural Network|Cross-Validation|Classifier / Classification

D

Deep Learning|Deepfake|Discriminative Model|Deterministic Model|Data Augmentation

E

Embedding|Encoder|Epoch|Ensemble Learning|Explainable AI (XAI)

F

Fine-tuning|Fusion / Multimodal Fusion|Forward Propagation|Foundation Model|Feature Extraction

G

GAN / Generative Adversarial Network|Gradient Descent|Grounding|Graph Neural Network (GNN)|Generative AI

H

Hyperparameter|Heuristic|Hidden Layer|Hierarchical Model|Hallucination

I

Imbalanced Data|Interpretability|Instruction tuning|Instance / Sample|Intelligence Amplification / Augmentation

J

JAX|Jittering|Joint Embedding|JSONL / JSON-lines|Juxtaposition

K

KL Divergence (Kullback–Leibler Divergence)|K-means Clustering|K-Shot Learning|Kernel Trick|Knowledge Distillation

L

Latent Variable|Loss Function|LSTM / Long Short-Term Memory|Large Language Model (LLM)|Learning Rate

M

Multimodal / Multimodality|Machine Learning (ML)|Meta-learning|Model|Multi-head Attention

N

Normalization|Neural Network|NLP / Natural Language Processing|NLU / Natural Language Understanding|Novelty Detection / Anomaly Detection

O

Objective Function|Online Learning|One-hot Encoding|Overfitting|Optimizer

P

Policy / Reinforcement Learning Policy|Pooling|Pretraining|Prompt|Parameter

Q

Queue / Buffer|Quantization|Q-learning|Query|Quality Estimation

R

Retrieval Augmented Generation (RAG)|Representation Learning|Reinforcement Learning (RL)|Regularization|RNN / Recurrent Neural Network

S

Supervised Learning|Self-Supervised Learning|Sequence Modeling|Sampling|Softmax

T

Training Data|Tokenizer|Transfer Learning|Transformer|Tuning / Hyperparameter Tuning

U

Universal Approximation Theorem|Unsupervised Learning|U-Net|Underfitting|Uncertainty Estimation

V

Variational Autoencoder (VAE)|Vector Embedding|Vanishing / Exploding Gradient|Validation Set|Vision Transformer (ViT)

W

Weak Supervision|Weight Decay|Whitening / Whitening Transformation|Word Embedding|Workflow

X

XOR problem|X-axis / feature axis|XAI / Explainable AI|XLM|XLNet

Y

Y-axis / feature axis|Y-transform / YUV|YAGNI (You Aren't Gonna Need It)|Yield (model yield / throughput)|Yoga of AI

Z

Z-score Normalization|Zero-gradient phenomenon|Zero-shot Learning / Zero-shot inference|Zero-centric / Zero-bias initialization|Zygosity in augmentation