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Muestra las diferencias entre dos versiones de la página.

--- materias:pln:uba2019:teoricos [2019/09/20 12:15] – francolq
+++ materias:pln:uba2019:teoricos [2019/09/23 18:09] (actual) – francolq
@@ Línea 150: / Línea 150: @@
 {{:materias:pln:2019:deepmeme.png?direct&400|}}
+  * Traducción Automática y modelos "sequence to sequence":
+    * [[https://www.youtube.com/watch?v=XXtpJxZBa2c&list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z&index=8| Translation, Seq2Seq, Attention (cs224n lecture 8)]]
+  * [[https://www.youtube.com/watch?v=yIdF-17HwSk&list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z&index=11|Question Answering (cs224n lecture 10)]]
+  * [[https://www.youtube.com/watch?v=S-CspeZ8FHc&list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z&index=14|Contextual Word Embeddings (cs224n lecture 13)]]
+  * Material complementario:
+    * [[http://ruder.io/deep-learning-nlp-best-practices/index.html|Deep Learning for NLP Best Practices
+]] (Sebastian Ruder)
+    * [[http://nlp.seas.harvard.edu/2018/04/03/attention.html|The Annotated Transformer]] (Alexander Rush)
+    * [[https://talktotransformer.com/]]
+    * [[http://ruder.io/4-biggest-open-problems-in-nlp/|The 4 Biggest Open Problems in NLP
+]] (Sebastian Ruder)