Getting started with Natural Language Processing: Bag of words

[@naveenrs7460]

Fantastic and lovely explanation brother ❤️

[@xruan6582]

Beautiful slides but slightly lack of detail. 3:54 do you use same BOW encoding for input and prediction? Do the encodings for input and prediction must have same length?

[@lihanou]

why sigmoid for multi label and softmax for binary? isn't it the other way around?

[@nagamori001]

sigmoid: multi label multi answer, softmax: multi label only 1 answer. for bag of words, there could be multiple answers from input (e.g pandas + keras)

[@peschebichsu]

Nicely explained! As you mention there are many otheways to covert text to numbers, could you maybe also record videos about some other methods (and which are the most useful ones?)?

[@ge_song5]

well explained. thx!

[@avinashsingh7182]

Awesome Explanation

[@Uttam_Aushadhi]

can I use any language in automl natural language

[@Somish3]

starting min 4 absolutely nothing is clear, where all those inputs, bias and weights are coming from :/

[@tormodkvitberg7012]

Anyone else hear a deep bass troughout the video?

[@somiamohammedali9316]

T

[@somiamohammedali9316]

6

[@dladouceur]

Aren't you horseshoeing this to short circuit having some sort of moment manager or context .... how would this work over a full conversation ?

[@박준현-e8s]

:)

[@abhishekchauhan6530]

implement in app

[@somiamohammedali9316]

Rrft