What is Recurrent Neural Network (RNN)? Deep Learning Tutorial 33 (Tensorflow, Keras & Python)

RNN or Recurrent Neural Network are also known as sequence models that are used mainly in the field of natural language processing as well as some other areas such as speech to text translation, video activity monitoring, etc. In this video we will understand the intuition behind RNN and see how RNN's work.

#recurrentneuralnetwork #rnn #rnndeeplearning #whatisrnn #deeplearningtutorial #rnnneuralnetwork #rnntutorial

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❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

[sidsarkar]

Saw like 3-4 videos, no one really addressed that there is only one layer that is going through this process. By far the most clear video, thank you!

[architnarang]

this is brilliant, your explanation truly helps one build a genuine intuition for concepts. found your channel trying to understand whether USE or BERT would be better for my use case, so happy that I did

[joycechepkemoichepkwony]

I am still new in this. Trying to follow up all your videos. You've got good explanation. Thank you.

[shresthaditya]

RNN and Sequence model uses:
1. Completing Sentences
2. Translating Sentences
3. Entity Recognition
4. Sentiment Analysis
Sequence is important here

N.N work on numbers not strings so you will have to apply Hot-Encoding

[buh]

Thanks, I finally understand RNN. So basically you first encode each words in your sentence then feed encoded vector with weight to the neural network with activation function. Afterwards you feed next encoded vector with weight feed into neural network until feed all the words. So it’s like a loop, we only using on neural network. That a important point. And then we calculate the loss and use back propagation to adjust the weight and bias in our network.

[roxxie]

Your videos are so simple and easy to understand. They get across the basic intuition of Algorithms with ease. It's been challenging for a me to get in to this field and this content has been really helpful for me.

[lindaeitelberg]

Your explanation on recurrent neural networks is the best I've seen to date.

[RounakPolley]

This is probably the best channel for students learning AI
Thanks a lot

[raselkarim]

It was pretty awesome, I have understood the RNN from your explanation and wondering about the word "Recurrent".
And telling myself, ohhhh, that's why it's called Recurrent Neural Network.

[zanwardrrknec]

Amazing. Sir, you may not be aware how easy you are making it. How close you are taking us to application. You must be taking huge efforts to make it so.

[TheeSurferJim]

When I do NLP processing now, I apply a Lisp or Prolog based approach where one matches everything at once. Years ago I learned that to understand a sentence, one must know the words, and to know the words, one must know the sentence. So the approach is to look at the whole sentence, and process the words and the sentence at the same time and as each part is discovered or combined, they reinforce the others. Nice video ----

[maitreyamoharil]

Best video i have seen till now about basic understanding of RNN
Thank you

[dlmsami]

you are a great man, thunk you for all what you did and what you are doing and what you wild do, you make deep learning looking like a simple math operation (1+1=2), i encourage you to continue in this path of teaching

[story_teller_]

Thank you very much for this wonderful and simple explanation on RNN. I finally understood the concept. Lots of love from Saudi Arabia...Keep going. You are a genius.😃👍

[darshilvshah]

Superb video !!!....in fact most of the videos of this channel are amazing !!!!

[radionnazmiev]

Simply you're the best man hands down!!!

[nurbekss]

dude, where you have been all this time?!Great video!! Finally got a pure and exact explanation of ML models!!

[andreonofre]

You are a great teacher! Very easy to understand explanation about RNN!

[crazysilvershine]

Very crisp and to the point.Excellent explanation

[RAZZKIRAN]

thank u so much, expecting next topic videos in sequence,
like LSTM, Bi-LSTM, GAN,
please do videos with one example classification task like hate speech detection with these concepts like RNN, LSTM?