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Deep Learning

A Mathematical View towards CycleGAN

4 minute read

Published:

Recently, CycleGAN is a very popular image translation method, which arouse many people’s interests. Lots of people are busy with reproducing it or designing interesting image applications by replacing the training data. However, few people have thought about its limitations, though the original paper gave some discussions about them.

An Overview on Optimization Algorithms in Deep Learning 1

4 minute read

Published:

Recently, I have been learning about optimization algorithms in deep learning. And it is necessary, I think, to sum them up, so I plan to write a series of articles about different kinds of these algorithms. This article will mainly talk about the basic optimization algorithms used in machine learning and deep learning.

Fun

AI玩微信跳一跳的正确姿势

3 minute read

Published:

最近,微信小游戏跳一跳可以说是火遍了全国,从小孩子到大孩子仿佛每一个人都在刷跳一跳,作为无(zhi)所(hui)不(ban)能(zhuan)的AI程序员,我们在想,能不能用人工智能(AI)和计算机视觉(CV)的方法来玩一玩这个游戏?于是,我们开发了微信跳一跳Auto-Jump算法,重新定义了玩跳一跳的正确姿势,我们的算法不仅远远超越了人类的水平,在速度和准确度上也远远超越了目前已知的所有算法,可以说是跳一跳界的state-of-the-art,下面我们详细介绍我们的算法。

GAN

A Mathematical View towards CycleGAN

4 minute read

Published:

Recently, CycleGAN is a very popular image translation method, which arouse many people’s interests. Lots of people are busy with reproducing it or designing interesting image applications by replacing the training data. However, few people have thought about its limitations, though the original paper gave some discussions about them.

Optimization

An Overview on Optimization Algorithms in Deep Learning 1

4 minute read

Published:

Recently, I have been learning about optimization algorithms in deep learning. And it is necessary, I think, to sum them up, so I plan to write a series of articles about different kinds of these algorithms. This article will mainly talk about the basic optimization algorithms used in machine learning and deep learning.

machine learning

Maximum Likelihood and Bayes Estimation

5 minute read

Published:

$$\DeclareMathOperator{\E}{E}$$ $$\DeclareMathOperator{\KL}{KL}$$ $$\DeclareMathOperator{\Var}{Var}$$ $$\DeclareMathOperator{\Bias}{Bias}$$

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