Projects
The Web Developer App “YelpCamp”
Designed full-stack web applications about travel social sharing from scratch using Express, MongoDB, and Semantic UI, including create static HTML and CSS portfolio sites and landing pages, use Bootstrap to create good looking responsive layouts
Used NodeJS to write server-side JavaScript; Manipulated the DOM with jQuery
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Build and Operate a 3-Layer Network & Video CDN
Set up a valid forwarding state within an autonomous system (AS) and between ASes using OSPF; Implement different BGP policies to reflect business relationships or traffic with outer internet
Used socket programming and HTTP to implement a proxy that handles multithreaded clients and passes data (video) back and forth between client-server
The proxy can smartly perform bitrate adaptation based on network status
Recurrence of all Basic Concepts and Classic Models in Deep Learning (using GCP)
Implemented basic classifiers, MLP, dim reduction (PCA and tSNE), optimizers (SGD with Momentum, RMSprop, Adam), regularization (Dropout, Batch Normalization), data augmentation in Python (NumPy, TensorFlow and so on)
Implemented convolutional neural network (used LeNet to achieve over 95% accuracy in Kaggle bottle classification competition), recurrent neural network (compute XOR operation); realized simple translating French to English
Reproduced the paper “Multi-Digit Number Recognition from Street View Imaginary Using Deep CNN”
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Different machine-learning methods to predict popularity of movies using conventional and social media features
Different machine learing methods to predict the popularity of movies using social media features and conventional features.
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