Building a Facial Recognition Doorbell at the Edge
Applied transfer-learning to facial image encoding model on edge device to enhance performance and user privacy.
Posts by Tag
- Docker 2
- computer vision 2
- mobile development 2
- deep learning 2
- Massively Parallel Processing 1
- Apache Spark 1
- Factorization Machine 1
- NLP 1
- sentiment analysis 1
- cross-lingual transfer learning 1
- BERT 1
- CNN 1
Docker
Click-Through Rate Prediction
In this project we attempted the Kaggle Display Advertising Challenge in 2014 which is to train a model with 10GB of web traffic data to predict click-throug...
computer vision
LipSpeak
An easy-to-use mobile application to help people with voice disorders communicate effectively. The project received the Hal R. Varian MIDS Capstone Award, wh...
Building a Facial Recognition Doorbell at the Edge
Applied transfer-learning to facial image encoding model on edge device to enhance performance and user privacy.
mobile development
LipSpeak
An easy-to-use mobile application to help people with voice disorders communicate effectively. The project received the Hal R. Varian MIDS Capstone Award, wh...
Building a Facial Recognition Doorbell at the Edge
Applied transfer-learning to facial image encoding model on edge device to enhance performance and user privacy.
deep learning
LipSpeak
An easy-to-use mobile application to help people with voice disorders communicate effectively. The project received the Hal R. Varian MIDS Capstone Award, wh...
Building a Facial Recognition Doorbell at the Edge
Applied transfer-learning to facial image encoding model on edge device to enhance performance and user privacy.
Massively Parallel Processing
Click-Through Rate Prediction
In this project we attempted the Kaggle Display Advertising Challenge in 2014 which is to train a model with 10GB of web traffic data to predict click-throug...
Apache Spark
Click-Through Rate Prediction
In this project we attempted the Kaggle Display Advertising Challenge in 2014 which is to train a model with 10GB of web traffic data to predict click-throug...
Factorization Machine
Click-Through Rate Prediction
In this project we attempted the Kaggle Display Advertising Challenge in 2014 which is to train a model with 10GB of web traffic data to predict click-throug...
NLP
Cross-Lingual Effectiveness of BERT on Aspect-Based Sentiment Analysis
Evaluated model performance when transferring learning across different languages in sentiment analysis tasks and recommended effective approaches.
sentiment analysis
Cross-Lingual Effectiveness of BERT on Aspect-Based Sentiment Analysis
Evaluated model performance when transferring learning across different languages in sentiment analysis tasks and recommended effective approaches.
cross-lingual transfer learning
Cross-Lingual Effectiveness of BERT on Aspect-Based Sentiment Analysis
Evaluated model performance when transferring learning across different languages in sentiment analysis tasks and recommended effective approaches.
BERT
Cross-Lingual Effectiveness of BERT on Aspect-Based Sentiment Analysis
Evaluated model performance when transferring learning across different languages in sentiment analysis tasks and recommended effective approaches.
CNN
LipSpeak
An easy-to-use mobile application to help people with voice disorders communicate effectively. The project received the Hal R. Varian MIDS Capstone Award, wh...