Image © Paul Watson, Licence CC BY-NC-SA 2.0
Keywords: neural network, word embedding, deep learning, representation, NLP, word vector
https://colah.github.io/posts/2014-07-NLP-RNNs-Representations/
This tutorial explains in simple terms why Recurrent Neural Networks work so well.
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| Institution: | colah's blog |
| Year of publication: | 2014 |
| Language: | english |
| Type: | |
| Audience: | linguists, philologists, corpus linguists, psycholinguists, humanists |
| Level: | basic |
| Prerequisites: | None |
| Media: | text/html |
| Objective: | |
| Licence: | |
| Access: | open |
| Creation date: | Wednesday, 13 January 2016 10:33:04 |
| Last modified: | Thursday, 18 April 2024 14:43:40 |
| BibTeX type: | @misc |
@misc(TeLeMaCo:351,
author = "Olah, Christopher",
title = "{D}eep {L}earning, {N}{L}{P}, and {R}epresentations",
year = "2014",
url = "https://colah.github.io/posts/2014-07-NLP-RNNs-Representations/"
)
