Bidirectional RNN | Deep Learning Tutorial 38 (Tensorflow, Keras & Python)

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Bi directional RNNs are used in NLP problems where looking at what comes in the sentence after a given word influences final outcome. In this short video we will look at bi directional RNN architecture using a very simple example of named entity recognition.

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#bidirectional #bidirectionalrnn #bidirectionallstm #bidirectionalrecurrentneuralnetwork #bidirectionalnlp #bidirectionalrnnarchitecture #bidirectionalrnndeeplearning #bidirectionalrnn #bidirectionalRNNkeras #bidirectionalrnnexplained #tensorflowbidirectionalrnn

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

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I have learned alot in Machine learning and Deep learning Techniques from series of your video tutorials, and I am still learning from you. Keep up the good work of sharing your knowledge with others

zaharaddeenkaramilawal

It is one of the good channel to learn complex concept LSTM is one of them

shivamkumar-rnve

You are a legend in explaining Machine Learning stuffs

safwanbinamir

Thanks for the theories, coding without understanding the theory is bad.. Your explanation are very great, apple should make you their ambassador

fellygraytv

However u r a true Inspiration for our new generation i learned alot from you.. best wishes from my side always.. keep it up

amirsafi

Straight to the point. I like that. Thank you

vegardnybakeri

Best video i ever need best visualization thanks 🎉🎉🎉🎉

ajinkyaawari

Sir you are doing tomendou job. Keep it doing. I wish you achieve what u want

travelwithfaseeh

Love all the videos that you have posted. You are a fabulous teacher and a mentor. Please correct me if I am wrong. Just a little curious as to why there is no coding video on RNNs and Bi-directional RNN ?

adityasrivastava

so in bidirectional rnn case, we take 2 cells where one analyze the sentence from beginning to end and vice versa but when the forward rnn cell is analyzing the apple word at certain time t, how can we say the other (backward) rnn cell has already analyzed its corresponding previous words (future words for forward rnn cell) at that time t ? (Because the backward rnn cell is also taking one word at a time).
Can you please clarify this?

sidharthjain

Plz more videos... 🙏🙏🙏🙏🙏love from india
Waiting for more videos....
Plz recommend us some resources from where we can get all of these topics...

mantis

I can't understand this. How you can connect blue line while it's coming back from the future?!

hesamkashefi

but the bi directional rnn can only be used when all data is avilable at the time of training but my project involves using live data so can only use one direcitonal rnn

factfry

Respected Sir your videos are very good. I request your sir please cover the concepts of Attention Model and Transformer Model.

HabiburRahamaniit

If there is coding part of creating this networks would be more better.(i.e: LSTM, GRU etc.) like you did in previous videos (creating Gradient Descent )

karatugba

Why there is no a(3) before the third year?plz clarify sir

saikiranreddy

Dear Respected Sir i have been following your Videos from scratch but u didnt provide the code of Gru and Lstm please make a separate video to explan the code of Lstm and Gru..

amirsafi

Sir, please cover the GloVe with its code.

hardikvegad

Bidirectional Long Short-Term Memory (BLSTM)

computersciencecs

Can you provide slides for your videos

pradyumnasakinala

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