diff --git a/our-initiatives/tutorials/rnns.md b/our-initiatives/tutorials/rnns.md index d807cbd..2875df6 100644 --- a/our-initiatives/tutorials/rnns.md +++ b/our-initiatives/tutorials/rnns.md @@ -4,7 +4,7 @@ sidebar_position: 9 # 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. 💡