Recurrent neural network (RNN) - explained super simple

www.tilestats....
1. The data
2. How a RNN works (03:12)
3. The loss function (10:27)
4. Backpropagation - how the weights are optimized (11:15)
5. How to predict (16:15)
6. How to validate the RNN (17:50)
7. Overfitting (20:20)
8. Stack the data (22:25)
9. RNN in R (23:56)
10. RNN in Python (28:15)
11. Many-to-one RNN (31:09)

[@Sam-tg4ii]

I love your clear and well-organized your explanations . You definitely have a gift for teaching and put a lot of effort in it. THANK YOU!

[@meshackamimo1945]

phenomenal explanations!very intuitive and understandable to a beginner. once again, thanks a million times!

[@tamirleventer2905]

This is realy helping 🤑

[@asosalih257]

Thank you sir for this video

[@MrAwm-ki6jb]

Hi your student here, thanks for the video

[@meshackamimo1945]

Much thanks for this video

[@Sam-tg4ii]

Could you please make a video comparing the performance of traditional ARIMA models and RNNs in predicting real stock returns spanning over many years to make it realistic?

[@AmarjeetYadav-ji5mp]

Hello sir make video on LSTM as well thank you.

[@tariqahassan5692]

Hi.. Many thanks for this nice video.. I ask if you do a video about LSTM network??

[@tilestats]

If the interest in this video increases, I will try to make such video.

[@dawitabatihun9022]

great