From 2994ca6aa93f3558a51299970d9d831d81b80f90 Mon Sep 17 00:00:00 2001
From: Angela Yu <72133521+angela24680403@users.noreply.github.com>
Date: Sun, 3 Dec 2023 00:49:07 +0000
Subject: [PATCH] Update our-initiatives/tutorials/rnns.md

Co-authored-by: Andrzej Szablewski <45316794+TheRootOf3@users.noreply.github.com>
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 our-initiatives/tutorials/rnns.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

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 # 7: Recurrent Neural Networks
 
-**Date: 6th November 2023**
+**Date: 6th December 2023**
 
 💡 **Recurrent neural networks** (RNNs) are a type of artificial neural network (ANN) that are well-suited for processing **sequential data**, such as **time series** data or **natural language**. Unlike **feedforward neural networks**, where information flows in one direction, RNNs have **feedback loops** that allow them to retain information about previous inputs. This week we will be covering what RNNs are, how to train such models, the problems faced with RNN **backpropagation**, and introduce **variations of RNNs** such as the **long short-term memory (LSTM)** model. 💡