isLouisHsu / isLouisHsu/isLouisHsu.github.io

全连接网络BP算法推导【矩阵形式】 | LOUIS' BLOG

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Description

https://louishsu.xyz/2019/12/08/%E5%85%A8%E8%BF%9E%E6%8E%A5%E7%BD%91%E7%BB%9CBP%E7%AE%97%E6%B3%95%E6%8E%A8%E5%AF%BC%E3%80%90%E7%9F%A9%E9%98%B5%E5%BD%A2%E5%BC%8F%E3%80%91/

前言在Feedforward Neural Network/5. 梯度推导中介绍了前馈神经网络的BP算法,但是推导结果为对元素的梯度,不便于编程且影响计算效率。本节以3层前馈全连接神经网络为例,介绍矩阵形式的BP算法推导。 网络定义定义多层全连接网络:【输入(input)】 -> 全连接层 -> sigmoid -> 【隐藏层(hidden)】-> 全连接层 -> 【

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Read the linked article and its referenced “Feedforward Neural Network/5. 梯度推导” section first. The issue does not identify a repository file, requested edit, or acceptance criteria, so clarify the intended documentation change and what completion should mean before starting.

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Assessment

Tech stack
machine-learning
Domain
machine-learning
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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