讓學習變成一種習慣

ML 分類

TF Notes (6), Candidate Sampling, Sampled Softmax Loss

07-02

SphereFace Paper Study and Implementation Notes

06-18

Bayesian Learning Notes

12-20

Gaussian Process used in Bayesian Optimization

12-09

CTC Implementation Practice

10-16

Variational Inference and VAE Notes

09-18

Ensemble Algorithm Summary Notes

09-03

TF Notes (5), GRU in Tensorflow

07-30

(what is) Probabilistic Graphical Models

06-16

Kaldi Notes (1), I/O in C++ Level

05-31