Errata

Deep Learning

Errata for Deep Learning

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The errata list is a list of errors and their corrections that were found after the product was released. If the error was corrected in a later version or reprint the date of the correction will be displayed in the column titled "Date Corrected".

The following errata were submitted by our customers and approved as valid errors by the author or editor.

Color key: Serious technical mistake Minor technical mistake Language or formatting error Typo Question Note Update

Version Location Description Submitted By Date submitted Date corrected
ePub
Page 15
top

SDG instead of SGD

the same on page 23 just before the "Regression" section

 Michael Hunger  Aug 20, 2017  Oct 06, 2017
PDF
Page 88
4 bullet point in the section "Loss Function Notation"

PDF:
We will use Y_hat to denote the output of the neural net. Of course Y_hat is the network’s guess at Y and therefore it will also have P features.

Suggestion:
I think it should be M features not P. Since Y_hat is the output, its size should be M, the number of output feature values.

 Anonymous  Oct 01, 2016  Jul 27, 2017