Recurrent Neural Network (RNN) Tutorial | RNN LSTM Tutorial | Deep Learning Tutorial | Simplilearn




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This Recurrent Neural Network tutorial will help you understand what is a neural network, what are the popular neural networks, why we need recurrent neural network, what is a recurrent neural network, how does a RNN work, what is vanishing and exploding gradient problem, what is LSTM and you will also see a use case implementation of LSTM (Long short term memory). Neural networks used in Deep Learning consists of different layers connected to each other and work on the structure and functions of the human brain. It learns from huge volumes of data and used complex algorithms to train a neural net. The recurrent neural network works on the principle of saving the output of a layer and feeding this back to the input in order to predict the output of the layer. Now lets deep dive into this video and understand what is RNN and how does it actually work.

Below topics are explained in this recurrent neural networks tutorial:

1. What is a neural network?
2. Popular neural networks?
3. Why recurrent neural network?
4. What is a recurrent neural network?
5. How does an RNN work?
6. Vanishing and exploding gradient problem
7. Long short term memory (LSTM)
8. Use case implementation of LSTM

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Comment List

  • Simplilearn
    January 19, 2021

    Machine Learning is the Future and yours can begin today. Comment below with you email to get our latest Machine Learning Career Guide. Let your journey begin

  • Simplilearn
    January 19, 2021

    thanks for you giving this training free on youtube, i think if you have a github account sharing files used in video, that would be nice.

  • Simplilearn
    January 19, 2021

    Amazing video, can you please send the source code and code file to my email : dmohankrishna99@gmail.com

  • Simplilearn
    January 19, 2021

    difficult to read the code with that font size in the full screen record

  • Simplilearn
    January 19, 2021

    why is the regressor.fit function not showing "accuracy"

  • Simplilearn
    January 19, 2021

    Please provide me with the required data sets and complete files for this video at
    Advait.sharma.391@gmail.com

    Thanks

  • Simplilearn
    January 19, 2021

    Excellent Tutorial !!
    Can you please send the dataset to programmingemail95@gmail.com
    Thanks

  • Simplilearn
    January 19, 2021

    Tutorial seemed really helpful,
    Please provide the code!!!

  • Simplilearn
    January 19, 2021

    Hi
    It was really useful. Really thanks.
    I have a question:
    I set this up (changed the parameters and trained).
    now, how can I use it in realtime? I mean, for example, I connected this program to realtime data and I receive data each one hour. should I train (fit) the network with every row of data I receive???!!! or just load the trained network at the beginning of the program and just get the predictions?
    in which points I should load and save the network? and after a while that new data is imported to the network, should it be retrained?
    please give me some advice about this.

    Regards

  • Simplilearn
    January 19, 2021

    Hey, thank you for this amazing tutorial. Can you please send me the code and presentation and dataset? my email is comradefoodie08@@t.

  • Simplilearn
    January 19, 2021

    Hello. Thank you for the tutorial. I am requesting for the data. francisowino824@gmail.com

  • Simplilearn
    January 19, 2021

    Hi, The tutorial is awesome. Could you share me the data set and code? Email Id: prakashdilli1994@gmail.com

  • Simplilearn
    January 19, 2021

    thanks for the amazing tutorial! could you please share the notebook and dataset to my email claudiusandika17@yahoo.com?

  • Simplilearn
    January 19, 2021

    Thank you for this great video. Can you please send me the dataset to following email: victoriavrosenberg@gmx.de. Thank you!

  • Simplilearn
    January 19, 2021

    Pls send data set and python script for practices at email id:arunbalajijr@gmail.com

  • Simplilearn
    January 19, 2021

    thank you its good video please help me i went to use RNN for text classification and how its work

  • Simplilearn
    January 19, 2021

    Hi, thank you for the amazing tutorial. Can you please share the dataset and code? Email Id: nyeinlayaung.peach@gmail.com

  • Simplilearn
    January 19, 2021

    Hi, thank you for the amazing tutorial. Can you share the dataset and code? Email Id: eng_ahmeddonkol@yahoo.com

  • Simplilearn
    January 19, 2021

    Hi, can you send me a copy of the data and code to my email at aashlie74@gmail.com

  • Simplilearn
    January 19, 2021

    Great content but cant listen to more than 5 mins of that terrible low quality scratchy tinny sound quality, please reprocess for sound quality. :-((

  • Simplilearn
    January 19, 2021

    Woow , nice video, please kindly send me the dataset on attafuahchristopher@gmail.com

  • Simplilearn
    January 19, 2021

    Hello, thanks for video. Could you please email me a copy of the dataset: zhxyinzhou@@t Thank You!

  • Simplilearn
    January 19, 2021

    Hi. Just a small doubt. When you say @9:38 that we turn the plain neural network upside down and compress each of the layers into single nodes in a RNN,do you mean to say that what we would call an epoch in terms of a normal neural network is called a time step in RNN with the difference being that information is passed not only from one layer to another but also from one epoch to another?
    Please tell me if I have understood it correctly. Thanks for the tutorial. It was really good. my email id is gvasrith@gmail.com

  • Simplilearn
    January 19, 2021

    Thank you for an excellent tutorial about LSTM, Could you please send me the dataset used? Thanks! (email: dinidusrimal@gmail.com)

  • Simplilearn
    January 19, 2021

    Hey can I see the dataset? Great content – Jtat233@gmail.com

  • Simplilearn
    January 19, 2021

    Hi, thank you for the amazing tutorial. Can you share the dataset and code? Email Id: ahhanan07@gmail.com

  • Simplilearn
    January 19, 2021

    Thanks for this tutorial.Could you send me datasets for this one?
    Joncoreq@gmail.com

  • Simplilearn
    January 19, 2021

    very useful video. can you please send me the data set to this email: navindabc@gmail.com

  • Simplilearn
    January 19, 2021

    Please let me know how can I download the slides . I could not do it on slideshare for some reason

  • Simplilearn
    January 19, 2021

    Hello it's a great video. Can I get the data set. Email id:tusharkantanayak039@gmail.com

  • Simplilearn
    January 19, 2021

    Thank you for the great video! I have a problem however with the real forecast of the model. Looks like it can be only use to compare the already existing data, but is very difficult to make it predict non existing values. Can you also make a video about that part? Should the model be saved and after that used may be?

  • Simplilearn
    January 19, 2021

    Hello. Thankyou for this tutorial. It has cleared my doubts. Can you provide the dataset please? My email id is dharmilns@gmail.com

  • Simplilearn
    January 19, 2021

    Thank you simplilearn team.I found this explanation very useful and understandable ; can you please send me the dataset or the link to download it on my email mrunal815@gmail.com.

    Special thanks to the Richard(The tutor)

  • Simplilearn
    January 19, 2021

    Excellent tutorials. Can you send me the dataset and codes used in this video. my mail id is (pete2allmail@gmail.com).

  • Simplilearn
    January 19, 2021

    hi thanks for great content can you send me the dataset email: armanneowave@gmail.com

  • Simplilearn
    January 19, 2021

    Dear wonderful and great explanation. could you share the slides at my email address: engr.qayyum@gmail.com

  • Simplilearn
    January 19, 2021

    amazing tutorial. could you send me the dataset on email: jirayep448@provlst.com

  • Simplilearn
    January 19, 2021

    Realy cool tutorial on rnn. Thank you for your work😍😍

  • Simplilearn
    January 19, 2021

    Hii, could you please share the source code used in this example to my email id

    nikhil.i2220@gmail.com

  • Simplilearn
    January 19, 2021

    this tutorial helps me learn a lot about LSTM. Could you please send me the dataset of the case study? Really appreciate your help. My email is: cfkuocfkuo@gmail.com

  • Simplilearn
    January 19, 2021

    Hey , thanks a lot for such an amazing tutorial. This was the best tutorial i've watched on RNN and LSTM it really cleared the concepts for me. Could you send me the dataset via email: arjun8249singh@gmail.com

    Please and thankyou

  • Simplilearn
    January 19, 2021

    Thanks for the great tutorial! A couple of questions please.
    To establish a Multivariate Multi-Step LSTM Models – Multiple Input Multi-Step Output:
    1. How can I modify this code to take, for instance, 3 inputs to forecast a different single output that depends on those 3 inputs?
    2. How can I forecast multiple timesteps in the future without knowing the new inputs (because they're in the future)?

  • Simplilearn
    January 19, 2021

    Can you send me the dataset for this video to dhiyegoshan@gmail.com

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