DL：深度学习算法(神经网络模型集合)概览之《THE NEURAL NETWORK ZOO》的中文解释和感悟（八）
ELM Extreme learning machines (ELM) are basically FFNNs but with random connections. They look very similar to LSMs and ESNs, but they are not recurrent nor spiking. They also do....
DL：深度学习算法(神经网络模型集合)概览之《THE NEURAL NETWORK ZOO》的中文解释和感悟（七）
DCIGN Deep convolutional inverse graphics networks (DCIGN) have a somewhat misleading name, as they are actually VAEs but with CNNs and DNNs for the respective encoders an....
DL：深度学习算法(神经网络模型集合)概览之《THE NEURAL NETWORK ZOO》的中文解释和感悟（六）
DBN Deep belief networks (DBN) is the name given to stacked architectures of mostly RBMs or VAEs. These networks have been shown to be effectively trainable stack by stack, where ....
DL：深度学习算法(神经网络模型集合)概览之《THE NEURAL NETWORK ZOO》的中文解释和感悟(五)
MC Markov chains (MC or discrete time Markov Chain, DTMC) are kind of the predecessors to BMs and HNs. They can be understood as follows: from this node where I am now, what are ....
DL：深度学习算法(神经网络模型集合)概览之《THE NEURAL NETWORK ZOO》的中文解释和感悟(三)
AE Autoencoders (AE) are somewhat similar to FFNNs as AEs are more like a different use of FFNNs than a fundamentally different architecture. The basic idea behind autoencoders is....
DL：深度学习算法(神经网络模型集合)概览之《THE NEURAL NETWORK ZOO》的中文解释和感悟(二)
Feed forward neural networks (FF or FFNN) and perceptrons (P) are very straight forward, they feed information from the front to the back (input and output, respectively). Neural networks are often d....
DL：深度学习算法(神经网络模型集合)概览之《THE NEURAL NETWORK ZOO》的中文解释和感悟(一)
THE NEURAL NETWORK ZOOPOSTED ON SEPTEMBER 14, 2016 BY FJODOR VAN VEEN With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Kn....
【POJ 1236 Network of Schools】强联通分量问题 Tarjan算法，缩点
题目链接：http://poj.org/problem?id=1236 题意：给定一个表示n所学校网络连通关系的有向图。现要通过网络分发软件，规则是：若顶点u,v存在通路，发给u，则v可以通过网络从u接收到。 现要求解两个问题： TaskA: 最少分发给几个学校，就可以使所有的学校都能得到软件。 TaskB: 最少增加几条边，就可以使得，发软件给任一学校，所有学校都可以收到。 思路：先进行强联通....
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