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Changed grammar and formatting (#18730)

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CarolineGriffin
2018-10-15 20:46:55 +01:00
committed by Quincy Larson
parent 426ee11569
commit fcc3f02224
1 changed files with 5 additions and 5 deletions
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client/src/pages/guide/english/machine-learning/backpropagation/index.md
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@ -44,19 +44,19 @@ In this case, for matrix M, M' will denote the transpose of matrix M
D(l) = 1\m(Delta(l) + lambda • Theta(l)); if l≠0 D(l) = 1\m(Delta(l) + lambda • Theta(l)); if l≠0
D(l) = 1\m • Delta(l); if l=0 D(l) = 1\m • Delta(l); if l=0
Of course, just seeing this article looks hugely complicated and should really only be understood in the greater contexts of neural networks and machine learning. Please look at the arrached references for a better understanding of the topic as a whole. This article should only be understood in the greater contexts of neural networks and machine learning. Please read the arrached references for a better understanding of the topic as a whole.
#### More Information: ### More Information
High-Level: **High-Level:**
* Siraj Raval - [Backpropagation in 5 Minutes](https://www.youtube.com/watch?v=q555kfIFUCM) * Siraj Raval - [Backpropagation in 5 Minutes](https://www.youtube.com/watch?v=q555kfIFUCM)
* [Backprop on Wikipedia](https://en.wikipedia.org/wiki/Backpropagation) * [Backprop on Wikipedia](https://en.wikipedia.org/wiki/Backpropagation)
In-depth: **In-depth:**
* Lecture 4 CS231n [Introduction to Neural Networks](https://youtu.be/d14TUNcbn1k?t=354) * Lecture 4 CS231n [Introduction to Neural Networks](https://youtu.be/d14TUNcbn1k?t=354)
* [In depth, wiki style article](https://brilliant.org/wiki/backpropagation/) * [In depth, wiki style article](https://brilliant.org/wiki/backpropagation/)
* [Article on computation graphs](http://colah.github.io/posts/2015-08-Backprop/) * [Article on computation graphs](http://colah.github.io/posts/2015-08-Backprop/)
* [A Step by Step Backpropagation Example](https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/) * [A Step by Step Backpropagation Example](https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/)
* [Andrew Ng's ML Course](https://www.coursera.org/learn/machine-learning/) * [Andrew Ng's ML Course](https://www.coursera.org/learn/machine-learning/)
If you'd like to learn how to implement a full-blown single (hidden) layer neural network in python, whilst learning more about the math behind the algorithms used, you can register for [Andrew Ng's Deep Learning Specialization] (https://www.coursera.org/specializations/deep-learning) If you'd like to learn how to implement a full-blown single (hidden) layer neural network in Python, whilst learning more about the math behind the algorithms used, you can register for [Andrew Ng's Deep Learning Specialization] (https://www.coursera.org/specializations/deep-learning)