A Activity diagram used in UML 6/9 and SysML B Bachman diagram Booch used in software engineering Block diagram Block Definition Diagram BDD used in SysML C Carroll diagram Cartogram Catalytic cycle Chemical equation Curly arrow diagram Category theory diagrams Cause-and-effect diagram Chord diagram Circuit diagram Class diagram from UML 1/9 Collaboration diagram from UML 2.0 Communication diagram from UML 2.0 Commutative diagram Comparison diagram Component diagram from UML 3/9 Composite structure diagram from UML 2.0 Concept map Constellation diagram Context diagram Control flow diagram Contour diagram Cordier diagram Cross functional flowchart D Data model diagram Data flow diagram Data structure diagram Dendrogram Dependency diagram Deployment diagram from UML 9/9 Dot and cross diagram Double bubble map used in education Drakon-chart E Entity-Relationship diagram ERD Event-driven process chain Euler diagram Eye diagram a diagram of a received telecommunications signal Express-G Extended Functional Flow Block Diagram EFFBD F Family tree Feynman diagram Flow chart Flow process chart Flow diagram Fusion diagram Free body diagram G Gantt chart shows the timing of tasks or activities used in project management Grotrian diagram Goodman diagram shows the fatigue data example: for a wind turbine blades H Hasse diagram HIPO diagram I Internal Block Diagram IBD used in SysML IDEF0 IDEF1 entity relations Interaction overview diagram from UML Ishikawa diagram J Jackson diagram K Karnaugh map Kinematic diagram L Ladder diagram Line of balance Link grammar diagram M Martin ERD Message Sequence Chart Mind map used for learning, brainstorming, memory, visual thinking and problem solving Minkowski spacetime diagram Molecular orbital diagram N N2 Nassi Shneiderman diagram or structogram a representation for structured programming Nomogram Network diagram O Object diagram from UML 2/9 Organigram Onion diagram also known as "stacked Venn diagram" P Package diagram from UML 4/9 and SysML Parametric diagram from SysML PERT Petri net shows the structure of a distributed system as a directed bipartite graph with annotations Phylogenetic tree - represents a phylogeny evolutionary relationships among groups of organisms Piping and instrumentation diagram P&ID Phase diagram used to present solid/liquid/gas information Plant Diagram Pressure volume diagram used to analyse engines Pourbaix diagram Process flow diagram or PFD used in chemical engineering Program structure diagram R Radar chart Radial Diagram Requirement Diagram Used in SysML Rich Picture R-diagram Routing diagram S Sankey diagram represents material, energy or cost flows with quantity proportional arrows in a process network. Sentence diagram represents the grammatical structure of a natural language sentence. Sequence diagram from UML 8/9 and SysML SDL/GR diagram Specification and Description Language. SDL is a formal language used in computer science. Smith chart Spider chart Spray diagram SSADM Structured Systems Analysis and Design Methodology used in software engineering Star chart/Celestial sphere State diagram are used for state machines in software engineering from UML 7/9 Swim lane Syntax diagram used in software engineering to represent a context-free grammar Systems Biology Graphical Notation a graphical notation used in diagrams of biochemical and cellular processes studied in Systems biology System context diagram System structure Systematic layout planning T Timing Diagram: Digital Timing Diagram Timing Diagram: UML 2.0 TQM Diagram Treemap U UML diagram Unified Modeling Language used in software engineering Use case diagram from UML 5/9 and SysML V Value Stream Mapping Venn diagram Voronoi diagram W Warnier-Orr Williot diagram Y Yourdon-Coad see Edward Yourdon, used in software engineering
2）输出层，输出层与隐藏层是什么关系？ 其实隐藏层到输出层可以看成是一个多类别的逻辑回归，也即softmax回归，所以输出层的输出就是softmax (W2X1 b2)，X1表示隐藏层的输出f (W1X b1)。 MLP整个模型就是这样子的，上面说的这个三层的MLP用公式总结起来就是
全连接（前馈）网络：是指每一层之间没有连接，只是前一层和后一层连接的网络都属于全连接 前馈神经网络。 多层感知器 MLP：是相对于最简单的单个感知器而言，多个感知器串联构成了MLP（Multilayer Perceptron）。 单个感知机：
MLP是 多层感知机，是多层的全连接的前馈网络，是而且仅仅是算法结构。输入样本后，样本在MLP在网络中逐层前馈（从输入层到隐藏层到输出层，逐层计算结果，即所谓前馈），得到最终输出值。 但，MLP的各层各神经元的连接系数和偏移量，并非MLP与生俱来的，需要训练和优化才能得到，BP派上 ...
transformer（这里指self attention） 和 MLP 都是全局感知的方法，那么他们之间的差异在哪里呢？
3.FFN（前馈神经网络）和 MLP（多层感知机）： "FFN" 和 "MLP" 表示前馈神经网络和多层感知机，它们在概念上是相同的。 前馈神经网络是一种最常见的神经网络结构，由多个全连接层组成，层与层之间是前向传播的。
求大神科普MLP（多重感知器）分类模型原理，如果可以推荐一些相关文献吧? 谢谢各位，如果可以介绍一下这个模型的来源 原理以及其他方面，多多益善，希望各位不吝赐教！ 显示全部 关注者 7
mlp之所以经久不衰，就是因为他简单，快速，能scale up。KAN让人想起来之前的Neural ODE，催生出来比如LTC（liquid time constant）网络这种宣称19个神经元做自动驾驶。（当然只是名字噱头，其实只是自动驾驶最简单的车道保持任务） 再广一点，不管是我们熟知的ANN（人工神经网络），还是BNN（贝叶斯神经 ...
都说1x1卷积能够替代fc层，更省参数，且效果差不多。那为什么现在还要使用mlp而不是堆叠1x1卷积层呢？
再度更新，截止5月3号晚上11点。 由于原生kan写的太烂了，速度太慢，于是我采用了上面说能跑到97%的FourierKan做实验，尝试将这种kan替换transformer的mlp。 我跑的实验是MAE pretrain，但是似乎怎么跑loss都比mlp高。 KAN可以宣告完结了？ ？？
多层感知机（MLP）神经网络可以用于多分类预测。以下是一个基本的示例，用于使用TensorFlow Keras实现MLP多分类预测：
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