本文是我个人认为Hinton最有潜力的论文之一:《Forward-Forward算法:一些初步探究》 文章正文 一、该论文希望解决什么问题 该论文旨在解决当前反向传播(Backpropagation, BP)算法在神经网络训练中的局限性,特别是其在生物学上的不可行性和处理序列数据时的低效。具体来说,作者希望通过引入一种新的学习过程——Forward-For...
The Forward-Forward Algorithm Frank Cao 华中科技大学 工学硕士 来自专栏 · 深度学习 1 人赞同了该文章 这是Hinton继胶囊模型后在AI底层算法模式创新的又一次尝试,该模型最大的特别之处在于:相对经典的神经网络直接删除了后向反馈过程(经典神经网络分为正向传播和后向反馈两个相对独立的过程),仅使用正向传播过...
摘要 这篇论文的目的就是为深度学习神经网络,引入了一种新的学习过程,并且在一些小的问题中进行尝试,效果很不错,值得再深入探究下去。前向正演算法用了两个前向传播代替了反向传播算法的前向传播和反向传播,这两次前向传播喂进去的数据样例分别为一正一负。网络的每一层都有自己的目标函数,并且对正样例有积极影响...
We propose thepredictive forward-forward (PFF)algorithm for conductingcredit assignmentin neural systems. Specifically, we design a novel,dynamic recurrentneural system that learns a directedgenerative circuit jointly and simultaneously with a representation circuit. Notably, the system integrateslearnable late...
The "forward-backward" algorithm, originally developed for estimation of a posteriori probabilities of individual symbols in digital sequences, has a variety of generalizations that are crucial for such "hot" current applications as decoding "turbo codes," low-density parity-check codes, and tail-...
由于直接暴力计算 𝒑(𝒛│𝒙) 的复杂度非常高,作者借鉴 HMM 的 Forward-Backward 算法思路,利用动态规划算法求解。 如下图,为了更形象表示问题的搜索空间,用 X 轴表示时间序列, Y 轴表示输出序列,并把输出序列做标准化处理,输出序列中间和头尾都加上 blank,用l表示最终标签,l’表示扩展后的形式,则由 2|...
Notifications You must be signed in to change notification settings Fork 0 Star 0 The Forge Cross-Platform Rendering Framework PC Windows, Steamdeck (native), Ray Tracing, macOS / iOS, Android, XBOX, PS4, PS5, Switch, Quest 2 License Apache-2.0 license ...
An efficient algorithm for computing the forward chirp z-transform was described 50 years ago1,2,3,4,5. It was derived using an index substitution, which was originally proposed by Bluestein1,5, to compute the transform using fast convolution. It runs in O(n\,\log \,n) time, where n...
Hidden Markov models are widely used for genome analysis as they combine ease of modelling with efficient analysis algorithms. Calculating the likelihood of a model using the forward algorithm has worst case time complexity linear in the length of the se
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