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in this video, we will understand what is Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be used to create applications like chat-bot, virtual assistant, speech-to-text or text-to-speech.
The word Recurrent means “occurring repeatedly”. This means that the Neural Network occurs repeatedly through time.
In a Recurrent Neural Network (RNN), the input can be of any length and output can also be of variable length. This makes it useful in dealing with texts processing.
Once you understand what is Recurrent Neural Network in Deep Learning, you will be able to create amazing applications yourself!
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Timestamps:
0:00 Intro
1:34 Reason 1 to use RNN
2:21 Reason 2 to use RNN
3:24 RNN Model Overview
4:17 Named Entity Recognition example
4:52 RNN Model
6:46 End
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Follow my entire playlist on Recurrent Neural Network (RNN) :
📕 RNN Playlist: https://www.youtube.com/watch?v=lWPkNkShNbo&list=PLuhqtP7jdD8ARBnzj8SZwNFhwWT89fAFr
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✔ CNN Playlist: https://www.youtube.com/watch?v=E5Z7FQp7AQQ&list=PLuhqtP7jdD8CD6rOWy20INGM44kULvrHu&t=0s
✔ Complete Neural Network: https://www.youtube.com/watch?v=mlk0rddP3L4&list=PLuhqtP7jdD8CftMk831qdE8BlIteSaNzD&t=0s
✔ Complete Logistic Regression Playlist: https://www.youtube.com/watch?v=U1omz0B9FTw&list=PLuhqtP7jdD8Chy7QIo5U0zzKP8-emLdny&t=0s
✔ Complete Linear Regression Playlist: https://www.youtube.com/watch?v=nwD5U2WxTdk&list=PLuhqtP7jdD8AFocJuxC6_Zz0HepAWL9cF&t=0s
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