Hi there, welcome to my blog! 🙂
I want to share my learning journals, notes and programming exercises with you. The topics include data science, statistics, machine learning, deep learning, AI applications, etc.
- Deep Learning 15: Unsupervised learning in DL? Try Autoencoder!
- ML Recap Slides sharing
- TensorFlow 07: Word Embeddings (2) – Loading Pre-trained Vectors
- Deep Learning 14 : Optimization, an Overview
- Deep Learning 13: Understanding Generative Adversarial Network
- Is your model good enough? Evaluation metrics in Classification and Regression
- Two sample problem(2): kernel function, feature space and reproducing kernel map
- Understanding SVM(2)
- Two sample problem(1): Parzen Windows, Maximum Mean Discrepancy
- NLP 05: From Word2vec to Doc2vec: a simple example with Gensim
How to find me
I am joining LILY lab at Yale University this year. Please leave comments or contact me via email@example.com