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2021

Stochastic Processes Week 7 Stochastic Integration & Itô Formula 12-12

Stochastic Processes Week 6 Ergodicity, Differentiability, Continuity 12-12

Stochastic Processes Week 5 Stationarity and Linear Filters 12-12

Stochastic Processes Week 4 Gaussian Processes 12-12

Stochastic Processes Week 3 Markov Chains 12-12

Stochastic Processes Week 2 Poisson Processes 12-12

Stochastic Processes Week 1 Introduction & Renewal Processes 12-11

Stochastic Processes Week 0 一些預備知識 12-11

MCMC by Gibbs and Metropolis-Hasting Sampling 10-27

Gumbel-Max Trick 08-07

Noise Contrastive Estimation (NCE) 筆記 06-05

2020

Distributed Data Parallel and Its Pytorch Example 12-20

Quantization 的那些事 10-03

TF Notes (7), Some TF2.x Eager Mode Practices 06-26

CTC Model and Loss 05-31

Exp of Adversarial Domain Adaptation 05-17

Framework of GAN 05-11

Notes for (Conditional/Cross-)Entropy, Mutual-Information, ... 05-02

2019

Determinant of Covariance Matrix 07-15

TF Notes (6), Candidate Sampling, Sampled Softmax Loss 07-02

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