(No promises if you what to know something genuinely super hard like "what are words?" 
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Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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I've wanted a super basic transformer introduction. I'm not sure if it's practical but I'd love a super small transformer on a super small problem. Basically the equivalent of
@karpathy's post on RNNs: http://karpathy.github.io/2015/05/21/rnn-effectiveness/ … - Još 1 odgovor
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Transformers!
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Topic extraction with latent dirichlet allocation in python
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In case you're actually looking for a decent tutorial, not only suggesting (good one though), here's one:http://brandonrose.org/clustering_mobile#Latent-Dirichlet-Allocation …
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I understand how you can assign each word a number then make numeric sequences of text to put into models, but what’s all the stuff of labeling words with what type they are (noun/verb) and how they relate to each other (this verse acts on this noun)? That all seems like magic!
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ALGORITHMIC SENTENCE DIAGRAMMING + PARTS OF SPEECH TAGGING!!!!!!!pic.twitter.com/qC6Ovj3PNd
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It would be great if u help us know how to implement
#transformers using@PyTorch or@TensorFlowHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Word embeddings.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Čini se da učitavanje traje već neko vrijeme.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.
's name is Gustav.) She/her

