데모
TensorFlow.js로 빌드된 예제 및 라이브 데모를 확인하세요.

LipSync by YouTube
인기곡 \'Dance Monkey\'의 가사를 얼마나 잘 따라 부르는지 확인해 보세요. 이 브라우저 내 환경은 Facemesh 모델을 사용하여 입술 주위의 주요 위치를 추적해 립싱크 정확도 점수를 매깁니다.




커뮤니티 데모
공식 템플릿으로 시작하고 커뮤니티의 인기 템플릿을 살펴보며 아이디어를 얻으세요.
- Browser
- Node.js
- Python
- Browser
- Node.js
- Image
- Numeric
- Sequence
- 텍스트
- Convolutional neural network
- Long short-term memory
- Multilayer perceptron
- Recurrent neural network
- Shallow neural network
- Attention mechanism
- Deep Q-Network
- Gated recurrent unit
- Generative adversarial network
- Policy gradient
- t-Distributed stochastic neighbor embedding
- Variational autoencoder
- Core (Ops)
- Layers
Example | Input data type | Task type | Model type | Training environment | Inference environment | API type | Demo |
---|---|---|---|---|---|---|---|
abalone-node | Numeric | Loading data from local file and training in Node.js | Multilayer perceptron | Node.js | Node.js | Layers | No demo |
addition-rnn | 텍스트 | Sequence-to-sequence | RNN: SimpleRNN, GRU and LSTM | Browser | Browser | Layers | View Demo |
addition-rnn-webworker | 텍스트 | Sequence-to-sequence | RNN: SimpleRNN, GRU and LSTM | Browser: Web Worker | Browser: Web Worker | Layers | No demo |
angular-predictive-prefetching | Numeric | Multiclass predictor | Deep Neural Network | Browser: Service Worker | Browser: Service Worker | Layers | No demo |
baseball-node | Numeric | Multiclass classification | Multilayer perceptron | Node.js | Node.js | Layers | No demo |
boston-housing | Numeric | Regression | Multilayer perceptron | Browser | Browser | Layers | View Demo |
cart-pole | horizontal_rule | 강화 학습 | Policy gradient | Browser | Browser | Layers | View Demo |
chrome-extension | Image | (Deploying TF.js in Chrome extension) | Convolutional neural network | horizontal_rule | Browser | horizontal_rule | No demo |
custom-layer | horizontal_rule | (Defining a custom Layer subtype) | horizontal_rule | horizontal_rule | Browser | Layers | View Demo |
data-csv | horizontal_rule | Building a tf.data.Dataset from a remote CSV | horizontal_rule | horizontal_rule | horizontal_rule | horizontal_rule | View Demo |
data-generator | horizontal_rule | Building a tf.data.Dataset using a generator | Regression | Browser | Browser | Layers | View Demo |
date-conversion-attention | 텍스트 | Text-to-text conversion | Attention mechanism, RNN | Node.js | Browser and Node.js | Layers | View Demo |
electron | Image | (Deploying TF.js in Electron-based desktop apps) | Convolutional neural network | horizontal_rule | Node.js | horizontal_rule | No demo |
fashion-mnist-vae | Image | 생성 | Variational autoencoder | Node.js | Browser | Layers | No demo |
interactive-visualizers | Image | Multiclass classification, object detection, segmentation | horizontal_rule | horizontal_rule | Browser | horizontal_rule | No demo |
iris | Numeric | Multiclass classification | Multilayer perceptron | Browser | Browser | Layers | View Demo |
iris-fitDataset | Sequence-to-sequence | Multiclass classification | Multilayer perceptron | Browser | Browser | Layers | View Demo |
jena-weather | 텍스트 | Sequence-to-prediction | MLP and RNNs | Browser and Node.js | Browser | Layers | View Demo |
lstm-text-generation | Image | Sequence-to-prediction | RNN: LSTM | Browser | Browser | Layers | View Demo |
mnist | Image | Multiclass classification | Convolutional neural network | Browser | Browser | Layers | View Demo |
mnist-acgan | Image | Generative adversarial network | Convolutional neural network; GAN | Node.js | Browser | Layers | View Demo |
mnist-core | Image | Multiclass classification | Convolutional neural network | Browser | Browser | Core (Ops) | View Demo |
mnist-node | Image | Multiclass classification | Convolutional neural network | Node.js | Node.js | Layers | No demo |
mnist-transfer-cnn | Image | Multiclass classification (transfer learning) | Convolutional neural network | Browser | Browser | Layers | No demo |
mobilenet | Image | Multiclass classification | Convolutional neural network | horizontal_rule | Browser | Layers | View Demo |
polynomial-regression | Numeric | Regression | Shallow neural network | Browser | Browser | Layers | View Demo |
polynomial-regression-core | Numeric | Regression | Shallow neural network | Browser | Browser | Core (Ops) | View Demo |
quantization | Various | Demonstrates the effect of post-training weight quantization | Various | Node.js | Node.js | Layers | No demo |
sentiment | 텍스트 | Sequence-to-binary-prediction | LSTM, 1D ConvNet | Node.js | Node.js or Python | Layers | View Demo |
simple-object-detection | Image | 객체 감지 | Convolutional neural network (transfer learning) | Node.js | Browser | Layers | View Demo |
snake-dqn | horizontal_rule | 객체 감지 | Deep Q-Network | Node.js | Browser | Layers | View Demo |
translation | 텍스트 | Sequence-to-sequence | LSTM encoder and decoder | Node.js or Python | Browser | Layers | View Demo |
tsne-mnist-canvas | horizontal_rule | Dimension reduction and data visualization | tSNE | Browser | Browser | Core (Ops) | No demo |
webcam-transfer-learning | Image | Multiclass classification (transfer learning) | Convolutional neural network | Browser | Browser | Layers | View Demo |
website-phishing | Numeric | Binary classification | Multilayer perceptron | Browser | Browser | Layers | View Demo |