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 |
|
Page 1
1 |
Sorry, I don't know the page number or para because I'm using O'Reilly Learning, but the error is here:
# Import spacy and download language model
import spacy
nlp = spacy.load("en_core_web_sm")
That should read:
# Import spacy and download language model
import spacy
nlp = spacy.load("en_core_web_trf")
en_core_web_trf is the name of the dataset loaded earlier in the chapter.
Note from the Author or Editor:
Yes, let's change this to nlp = spacy.load("en_core_web_trf") on page 20 of the book to make this consistent with the download of "en_core_web_trf" on page 19. |
Adam Witwer |
Jul 07, 2021 |
Dec 10, 2021 |
|
Page 137
last paragraph |
"The mathematical formulation for the simple RNN cell computation is:"
h_t+1 = tanh (W_ih*x_t + b_ih + W_hh*h_t + b_hh
shouldn't x_t be x_t+1?
look at this formula from the official documentations:
https://pytorch.org/docs/stable/generated/torch.nn.RNN.html
h_t=tanh(Wih*x_t+b_ih+W_hh*h_(t−1)+b_hh)
furthermore, right below, the book says:
"...and hh means “hidden to input”"
shouldn't it be hidden to hidden, since it is a square matrix which has the size of the hidden layer?
Thanks for this precious book, I'm really enjoying it.
Note from the Author or Editor:
Both modifications are accurate.
The first equation in chapter 6 should be updated to match https://pytorch.org/docs/stable/generated/torch.nn.RNN.html and the second equation should be h_t = \tanh(Wih*x_t+b_ih+W_hh*h_(t−1)+b_hh)
The sentence below should read "and hh means “hidden to input”", as suggested. |
gianni |
Oct 17, 2021 |
Dec 10, 2021 |