Add rnn and ch workshop content.

our-initiatives/tutorials/climate-hack.md

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 # ClimateHack.AI Workshop
 
-**Date: Coming soon!**
+**Date: 8th December 2023 (Friday 5pm)**
+
+💡 **Climate Hack.AI has been launched!** This workshop is all about helping you get started with this hackathon, providing tips and tricks to improve your model to move up the leaderboard🙌🏼.
+
+**Motivation**: The **National Grid ESO** currently relies on expensive and carbon-intensive **natural gas generators** to compensate for the variability of **solar PV power production**. By incorporating **satellite imagery** into near-term solar **PV forecasting models**, the ESO can improve the accuracy of these forecasts and **reduce its reliance on natural gas generators**.
+
+We will be going over each stage of the **ML flow** from preprocessing data to choosing and training your models, so that you can develop one for **site-level PV forecasting** over the next four hours that is both accurate and performant. Your contributions could directly help **cut carbon emissions** in Great Britain by up to **100 kilotonnes** per year!! 💡

our-initiatives/tutorials/rnns.md

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 # 7: Recurrent Neural Networks
 
 **Date: 6th November 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. 💡
+
+You can access our **slides** here: 💻 [**Tutorial 7 Slides**](https://www.canva.com/design/DAF0bkkh7uE/PlWo9_wcOAVhDKP_SdE56g/edit?utm_content=DAF0bkkh7uE&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton)