This page (revision-1) was last changed on 29-Nov-2024 16:16 by UnknownAuthor

Only authorized users are allowed to rename pages.

Only authorized users are allowed to delete pages.

Page revision history

Version Date Modified Size Author Changes ... Change note

Page References

Incoming links Outgoing links
Machine Learning Taxonomy
Machine Learning Taxonomy

Version management

Difference between version and

At line 1 added 50 lines
!!! Overview
[{$pagename}], Well there is almost no common [Taxonomy] as the field covers several different disciplines.
Recommendations:
* __[lowercase]__, bold-face letters to refer to [vectors]
* __[UPPERCASE]__, bold-face letters to refer to [matrices|Matrix]
* ''italics'' to refer to single elements in a [vector] or [matrix]
* transpose - "superscript T" an operation that transforms a column [vector] into a row [vector] and vice versa:
** transpose applied to a [Matrix] to reflect the [Linear transformation] a [Matrix] without changing the [Basis vector]
Generally some poorly used terms are:
* [features]
* labels which we will call [Classification]
* [hyperparameters]
!! Table of Symbols
%%zebra-table
%%sortable
%%table-filter
||Code Symbol||Math Symbol||Definition||Dimensions
|__X__|__X__|the input [matrix] ([Independent variables])|(numExamples, inputLayerSize)
|__Y__|__Y__|is the label ([Classification]) [matrix]|
|''y''(i)|''y''(i)|[Predictor variable] ([Dependent variable]) for the ''i''(th) entry|(numExamples, outputLayerSize)
|W|W[l]|[weights] [Vector] for the l(th) layer|(inputLayerSize, hiddenLayerSize)
|z2|z[2]|Layer 2 [activation Function]|(numExamples, hiddenLayerSize)
|a2|a[2]|Layer 2 activity|(numExamples, hiddenLayerSize)
|z3|z[3]|Layer 3 [activation Function]|(numExamples, outputLayerSize)
|__J__|__J__|[Cost function]|(1, outputLayerSize)
|__W__|__W__|the [weight] [Matrix] for the ''l''(th) layer|[weight]
|__b__(l)|__b__(l)|the [bias] [vector] for the ''l''(th) layer |[bias]
|__L__|the [Loss function]|[Loss function]
|m|m|number of examples in the [Training dataset]|
|n(subx)|n(subx)|input size|
|n(suby)|n(suby)|number of [Classifications] (Output Size)|
|𝑦̂|𝑦̂|y-Hat is the [Predictor variable] [vector] ([Dependent variables]) which can also be denoted as a(number of layers)|
/%
/%
/%
!! Category
%%category [Artificial Intelligence]%%
!! More Information
There might be more information for this subject on one of the following:
[{ReferringPagesPlugin before='*' after='\n' }]
This page (revision-1) was last changed on 29-Nov-2024 16:16 by UnknownAuthorTop