BackPropagation through time
The formula of recurrent neural network (rnn)
s_{t} = tanh(U x_{t} + W s_{t-1})\hat{y_{t}} = softmax(V s_{t})The loss is:
E_{t}(y_{t},\hat{y_{t}}) =
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Variational Auto-Encoder
Pre-knowledge什么是独立同分布(i.i.d)？在概率论与统计学中，独立同分布（英語：Independent and identically distributed，缩写为IID）是指一组随机变量中每个变量的概率分布都相同，且这些随机变量互相独立。
什么是数据集的分布？
对于supervi
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cs231n assignment1
In this assignment you will practice putting together a simple image classification pipeline, based on the k-Nearest Neighbor or the SVM/Softmax classifier.
Machine Language
In this module we assume that the Hack computer and machine language have been built, and write some low-level programs using the Hack machine language. We will then use a supplied CPU Emulator to test and execute our programs. This experience will give you a taste of low-level programming, as well as a solid hands-on overview of the Hack computer platform.