Types of Recurrent Neural Networks (RNNs)

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In this video, we will look at different types of Recurrent Neural Networks. There are mainly 3 types of Recurrent Neural Networks.

1) many-to-one
2) one-to-many
3) many-to-many

The type of Recurrent Neural Network (RNN) is based on the input and output size. In the video, we also saw different types of applications that can be made using different types of Recurrent Neural Networks.

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Timestamps:
0:00 Intro
0:39
1:05 Many-to-One RNN
2:11 One-to-Many RNN
3:44 Many-to-Many RNN
4:18 Summary

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Follow my entire playlist on Recurrent Neural Network (RNN) :

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Wow, love your series already! Great teacher! I am a scientist in Germany and thought about synthesizing patient data with this. There's a cool paper about this and I try to rebuild it. So I need to learn RNN. I am looking forward to the examples in the end!

medical-informatics

Thank you, sir. Your explanation is great.
If possible, please elaborate on Transformers too, especially in implementing them for time series problems.
There aren't any tutorials on YouTube that cover this topic.

amiralioghli

I love your explanation super helpful ✨

_One_-ulvb

bro you're making amazing stuff, but it will be more amazing if you provide detail notes of this tutorials

yashchangare

Please make some videos in Image Processing subject for engineering

Harshada_Rajepawar

sir can you tell me apply batch gradient descent means what to do in neural network or what data is to be inserted in input layer

vandanvirani

Hi! i want to learn text detection from images using RNN. Please if you can help ???

KhadijaTulKubra-oo

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