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

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  • Опубліковано 11 гру 2024

КОМЕНТАРІ • 157

  • @codebasics
    @codebasics  2 роки тому +6

    Check out our premium machine learning course with 2 Industry projects: codebasics.io/courses/machine-learning-for-data-science-beginners-to-advanced

    • @jayshreeram6684
      @jayshreeram6684 7 місяців тому

      I don't want to go in NLP can i avoid this ahead videos, because I have to focus on computer vision.

  • @sidsarkar8
    @sidsarkar8 3 роки тому +35

    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!

  • @shresthaditya2950
    @shresthaditya2950 2 роки тому +36

    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

  • @joycechepkemoichepkwony3530
    @joycechepkemoichepkwony3530 2 роки тому +6

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

  • @TheeSurferJim
    @TheeSurferJim Рік тому +1

    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 ----

    • @codebasics
      @codebasics  Рік тому

      👍🏼👍🏼👍🏼

    • @TheeSurferJim
      @TheeSurferJim Рік тому

      @@codebasics its the ole 22 phrase, one cannot get a job without experience, so how do I get experience without a job" ----- you process both simultaneously from front to back, back to front, and the middle in between, as each word is identified, the phrase becomes identified, yet the phrase cannot be identified until the word is identified" Do multiple threading on the sentence at the same time, while continually combining into the largest sections and to the most discrete sections and bubble up and bubble down - bottom up, top down, meet somewhere in the middle where all parts agree ----------- so simple in an analogy ----- so now I code it once again :-)

  • @soubhikghoshroy7110
    @soubhikghoshroy7110 Місяць тому

    00:03 Recurrent Neural Network (RNN) is used for natural language processing tasks.
    02:02 RNN is used for sequence modeling in language translation.
    03:59 One hot encoding simplifies word representation
    05:53 Sequence is crucial in certain tasks
    08:02 Recurrent Neural Network (RNN) processes words word by word and carries context or memory.
    09:51 Recurrent Neural Network (RNN) uses time travel to process sequential inputs.
    11:54 Recurrent Neural Network (RNN) processes input in a loop
    14:04 RNN allows for sequential processing of input data for tasks like language translation and requires all words to be supplied for translation.
    Crafted by Merlin AI.

  • @hamzaashfaque2977
    @hamzaashfaque2977 3 роки тому +3

    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.

  • @raselkarim2731
    @raselkarim2731 2 роки тому +3

    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.

  • @lindaeitelberg8841
    @lindaeitelberg8841 2 роки тому +1

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

  • @buh357
    @buh357 2 роки тому +1

    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.

  • @architnarang3232
    @architnarang3232 3 роки тому +11

    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

  • @story_teller_1987
    @story_teller_1987 3 роки тому +2

    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.😃👍

  • @RounakPolley
    @RounakPolley 3 роки тому +2

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

  • @maitreyamoharil4299
    @maitreyamoharil4299 Рік тому

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

  • @faddsfadds5690
    @faddsfadds5690 6 місяців тому

    This is my firstv video in ai or deep leanring, but clearly understood, tq for the clear cut explaination, by seeing your video i am very curious to explore this field of ai and deep learning, thank you.

  • @darshilvshah
    @darshilvshah 3 роки тому +1

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

  • @dlmsami2539
    @dlmsami2539 3 роки тому +3

    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

  • @zanwardrrknec953
    @zanwardrrknec953 3 роки тому +5

    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.

    • @codebasics
      @codebasics  3 роки тому

      Thanks zanwardr for your feedback

  • @radionnazmiev546
    @radionnazmiev546 Рік тому

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

    • @codebasics
      @codebasics  Рік тому

      Thank you so much for your kind words.

  • @nurbekss2729
    @nurbekss2729 2 роки тому

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

  • @andreonofre2625
    @andreonofre2625 Рік тому

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

  • @arjunreddy7203
    @arjunreddy7203 3 роки тому +3

    Keep these coming! Loving them.

  • @chocky_1874
    @chocky_1874 3 роки тому

    Hy bro, u r really awsmm. I don't really understand the class, explained by my professor. before going to the class, i will go through ur tutorials. it really helps me to understand well. thank you bro

  • @foggychild8598
    @foggychild8598 Місяць тому

    Your explanation is so clear. Thankss for the video. I am new in this topic, so this video helped me a lot :)

  • @prasannan-robots
    @prasannan-robots 3 роки тому +2

    I was waiting for this.

  • @gurujicoder
    @gurujicoder 2 роки тому

    Your way to teaching is amazing!

  • @sain5275
    @sain5275 2 роки тому

    Happy Teachers day.. u r doing a great job .. 👏

  • @rayaneaboud9043
    @rayaneaboud9043 9 місяців тому

    great job taking your time explaining those notions thank you!

  • @hardikvegad3508
    @hardikvegad3508 3 роки тому +3

    FINALLY........😍😍😍
    waiting for LSTM too...

    • @codebasics
      @codebasics  3 роки тому +2

      yes LSTM will come up soon

  • @crazysilvershine
    @crazysilvershine 2 роки тому

    Very crisp and to the point.Excellent explanation

  • @RAZZKIRAN
    @RAZZKIRAN 3 роки тому +10

    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?

    • @codebasics
      @codebasics  3 роки тому +3

      Raju, point noted. I will be adding all those videos that you suggested.

    • @strongsyedaa7378
      @strongsyedaa7378 3 роки тому

      @@codebasics
      How to do RNN with Sequential layers

  • @buckybarnes9135
    @buckybarnes9135 2 роки тому

    you explain so crystal clear , not on the face of it.

  • @rohithmandya2872
    @rohithmandya2872 2 роки тому

    Nicely explained. I came back online just to give a thumbs up and subscribe. lol.

  • @naffiahanger9316
    @naffiahanger9316 2 роки тому

    Really awesome and simple explanation of RNN

  • @thecomputerpal221
    @thecomputerpal221 4 місяці тому

    Very good and clear. Thank you, Dhaval.

  • @texwiller7577
    @texwiller7577 Рік тому

    Very very cool video! I discovered right now your channel and it seems very promising

  • @Breaking_Bold
    @Breaking_Bold Рік тому

    Nice explanation of RNN !!!

  • @dsreebus
    @dsreebus 3 роки тому

    Well explained, better than tensorflow zero to hero

  • @sejalgulati5286
    @sejalgulati5286 3 роки тому +1

    So well explained. Thank you!

  • @mastercomputersciencesubje3181
    @mastercomputersciencesubje3181 3 роки тому

    Wonderful explanation...made it very simple

  • @shankar0015
    @shankar0015 3 роки тому

    Outstanding, keep the good work. thanks for the video.

  • @ranjaninatarajasharma5917
    @ranjaninatarajasharma5917 3 роки тому

    Thanks a million for all super simple videos. God bless!

  • @kmnm9463
    @kmnm9463 3 роки тому +1

    Hi,
    I have a doubt at at timestamp 09:00 in the video. In the NER example, for the input vector which one-hot encoding, for each word like Dhaval loves baby - there are 1's at two different places in the vector. Being one-hot encoded there should be only one '1' in each of the vectors right? This 1 corresponding to where the word appears in the vocab. Please clarify? Krish

    • @ereh3423
      @ereh3423 2 роки тому

      Hello. The ground truth 1 0 1 1 is the y(answer). The network input is a word vocabulary( could be hot encoded or word embedding ). Each word has your unique vector

  • @kmnm9463
    @kmnm9463 3 роки тому +1

    Hi Dhaval ji,
    This is just amazing! Your insight into concepts of RNN and all deep learning is unparalleled. Just great. Thanks from Krish

  • @vaibhavgupta006
    @vaibhavgupta006 2 місяці тому

    At 13:20 , it was mentioned to adjust weights after pass each sentence, while i remember in ANN the weights are adjusted after one epoch. Am I mistaken?

  • @prabhamelady1680
    @prabhamelady1680 3 роки тому

    Thanks for amazing Video with simple explanation :)

  • @Zainab-ud5wu
    @Zainab-ud5wu 6 місяців тому

    Благодарю, связка рабочая.

  • @cse8591
    @cse8591 3 роки тому

    Great Explanation

  • @GaetanoCarmeloLaDelfa
    @GaetanoCarmeloLaDelfa 7 місяців тому

    Amazing!

  • @himansushaw4938
    @himansushaw4938 2 роки тому

    Nicely Explained

  • @zepingluo694
    @zepingluo694 3 роки тому

    Thank you so much for the amazing videos!!

  • @ranishkalakshan3511
    @ranishkalakshan3511 3 роки тому +2

    I am waiting for.it..please do a video about LSTM soon.

  • @akshaytandon4792
    @akshaytandon4792 3 роки тому +2

    Hi. Thanks a lot for this explanation on RNNs. I had one question. At 4:25, you mention that converting the sentences to vector is called one hot encoding. Isn't it bag of word transformation? I request a clarification about this doubt. Thanks.

    • @sreyoshimitra6501
      @sreyoshimitra6501 2 роки тому

      converting text sentences into vectors by Bag of words technique.

  • @ShradhanandVerma
    @ShradhanandVerma Рік тому

    Nine explanation sir...

  • @debatradas9268
    @debatradas9268 3 роки тому

    thank you so so so much, Sir

  • @izharkhankhattak
    @izharkhankhattak 3 роки тому

    Good job. Thank you, Sir!

  • @mohammadelghandour1614
    @mohammadelghandour1614 2 роки тому

    Thanks for the easy and simple explanation ! I just have a question: around 3:49 and about the issue #2, you were talking about the one hot-encoding issue that results in high computation cost in MLP. How does RNN solve this issue? and how are words represented in RNN if not in hot-encoded binary format?

  • @Sangeekarikalan
    @Sangeekarikalan 3 місяці тому

    which is best for forecating or prediction ... LSTM?

  • @hp6hp1
    @hp6hp1 3 роки тому +1

    Sir! Most of the time, I have seen We predicting only number values from our Machine Learning Model. But I want know that How to find Category Values by taking Number values. Such as If I have a model that can predict a list of shop that giving Min price X and max price Y.

    • @codebasics
      @codebasics  3 роки тому +2

      You asked an interesting question Himalay. We need to think about few things (1) is your base for output the current price meaning based on current prices from different shops you want to input a product and find shops between price x and y? That wouldn't be a machine learning problem, you can simply to price comparison using SQL query (2) Say based on some features we are trying to predict future price from different shops, in this case one option is to build separate model for each shop and train them. When you are ready for prediction you get predicted output for each shop and now do your price comparison for min x and min y. There is also multioutput regression which can predict multiple outputs, need to see exact problem statement, features to see if that can be utilized: machinelearningmastery.com/multi-output-regression-models-with-python/

    • @hp6hp1
      @hp6hp1 3 роки тому

      @@codebasics Sorry, Sir. But I think you couldn't understand. I checked out your Real Estate project of Banglore city. It is giving prediction prices based on a few categories such as location, BHK, Bath, etc right? But If I want to location such as Akshay Nagar etc by giving Area, My budget as Estimate price and more. So I want to predict string Category, not number or int. Then what can do about it?

    • @nandakishorejoshi3487
      @nandakishorejoshi3487 2 роки тому

      @@hp6hp1 ,
      Neural network do not predict string as output directly. But they do predict word vectors or give probability distribution as output.
      We need to decode these output to get the respective output

  • @amongus-rq2hb
    @amongus-rq2hb 2 роки тому

    You are How . As a indian it makes sense to me

  • @amanrai5285
    @amanrai5285 2 роки тому

    Thank You!!!!

  • @narendrasompalli5536
    @narendrasompalli5536 3 роки тому

    Sir, do we must to add weights and bias?

  • @SAURABHGUPTA_DINOSAUR
    @SAURABHGUPTA_DINOSAUR Рік тому

    Sir i have tried everything on the internet but my tensorflow isnt detecting my gpu and runs on cpu instead. What do i do?

  • @vinaychitturi5183
    @vinaychitturi5183 3 роки тому +1

    Hi Sir, at 13.36, what will be the value of Y^(hat) at the first layer(Ironman)? Will it be 1 or [1 0 0 0] , asking this question as we are only passing oneword to the first layer.

  • @prajwalbk5725
    @prajwalbk5725 3 роки тому

    May the Force be with you and Grogu.
    Waiting for Friday's Bad Batch Ep 3.

  • @Arjun147gtk
    @Arjun147gtk 3 роки тому +2

    Sir, I need one advice.
    Have a job offer of data analyst, shall I take it and later move to data science and machine learning field or keep searching for machine learning related jobs?
    I wish I could have a word with you on chat/email.

    • @codebasics
      @codebasics  3 роки тому +1

      Depends on your situation... are you in need of earning money immidiately if yes then take it. you can move to ML job later on as well but your experience as a data analyst might (or might not) create some hurdles for you in future. whereas if you start as a data scientist from your first job itself your resume would look clean

  • @ajinkyakadam4672
    @ajinkyakadam4672 3 роки тому +1

    Playlist is not opening 😅

    • @codebasics
      @codebasics  3 роки тому

      are you clicking on a link in video description? It opens fine for me

  • @piyalikarmakar5979
    @piyalikarmakar5979 3 роки тому

    Thank you sir.. I just have one query..we can use Feed forward NN for sentiment analysis and there also sequence of the words matters.. then how does that NN deal with that?

  • @maheswarareddygajjala625
    @maheswarareddygajjala625 11 місяців тому

    if possible can you give us notes on this series

  • @shanmugamnathan9915
    @shanmugamnathan9915 3 роки тому

    For tumour detection RNN is suitable sir?

  • @shravannimma630
    @shravannimma630 3 роки тому

    great way of explaining things ☺you should be teaching at university

  • @shefalisingh4675
    @shefalisingh4675 Рік тому

    Your videos are very informative and simple, but one thing you mentioned RNNs are sequence models but translation would not be always sequential when we translate an English sentence to French or Spanish, words may be here and there then RNNs would not work as efficiently. Is there any other model we can use??

  • @sagihaviv5675
    @sagihaviv5675 3 роки тому

    sir how can i apply rnn for OCR? i want to build code recognition from image ? any tips and advice? im new to AI

  • @rajpurohitkiran5560
    @rajpurohitkiran5560 2 роки тому

    Sir, you have used hidden layer at different states. I had a doubt does the size of hidden layer remain same at each state

  • @sachinpriya88
    @sachinpriya88 3 роки тому

    Is Elman Recurrent NN or Simple Recurrent NN anonyms to each other or they r different in theory?

  • @켜누-k9k
    @켜누-k9k 3 роки тому

    When you explain classifying is transaction fraud or not Sequence wasn't important but I think in real process in ANN input node has also label right? then if the input datas' sequence is different from before Consequently layer's weights were also changed.
    ( ex) input [1,2,3] and [3,2,1] bring about different output in ANN too. so I could say this model has sequence too!)
    Am I wrongly understand ANN?
    plz help me THANKS :)

    • @VinVin21969
      @VinVin21969 3 роки тому +1

      yeah, this guy make a mistake . changing the sequence for ANN also give different output since changing sequence mean you put different vector value to each node which has different bias and weight .the thing is Neural network is also can used for NLP as long as it wasnt a complex sequence , and also even simple RNN cant be used for complex sequence too.. usually we using RNN-LSTM for complex sequence. hope this answer help you

    • @켜누-k9k
      @켜누-k9k 3 роки тому

      @@VinVin21969 thx :)

  • @subhashthangadipally4974
    @subhashthangadipally4974 3 роки тому +1

    38 like & 300 viewer it's not my mistaken cz I didn't get any notification from UA-cam.

  • @r21061991
    @r21061991 3 роки тому

    Please make more videos on NLP !!

  • @samratsinghrathore7240
    @samratsinghrathore7240 3 роки тому

    What does these functions in figure.canvas do? What is figure.canvas?
    fig.canvas.draw()
    fig.canvas.get_width_height()
    fig.canvas.tostring_rgb()
    What is fig.canvas if you could explain in detail. Also what does this code do:
    `image = np.frombuffer(fig.canvas.tostring_rgb())’
    I tried hard but could not get any documentation related to them. Are they obsolete?
    Please help me I’m stuck

  • @dibsaha5593
    @dibsaha5593 3 роки тому

    Finally I found you very luckily. Please resolve my query. I am newbie in python. So I want to finish only python basic then I want to move ML and want to complete all ML course with Python. Should I move to with Python basic only? I believe I will get satisfaction ans from you only.

    • @codebasics
      @codebasics  3 роки тому

      sure. you should follow my first 15 videos in my python tutorials playlist and then first 9 videos in pandas playlist. After that you can directly jump to my machine learning playlist.

    • @dibsaha5593
      @dibsaha5593 3 роки тому

      @@codebasics i have follow you always and i remember you are a very good guidance for us. Really this is great and valid information for me. so first 15 videos for python and first 9 videos for pandas this is fine to move your machine learning course. I mean no need anything to without this for begging to expert ML learn....... please let me

  • @medhavanisharma3323
    @medhavanisharma3323 2 роки тому

    Sir Can you share the Ha
    nd written notes..

  • @starless7972
    @starless7972 Рік тому

    gawd work

  • @shaiksuleman3191
    @shaiksuleman3191 3 роки тому +1

    Sir u r like doctor with out pain u give injection which will clear our confusion.

    • @codebasics
      @codebasics  3 роки тому

      ha ha.. thanks shaik for your very poetic, analogy based appreciation and feedback. It is always a pleasure to read your comments my friend :)

  • @anshkumar-nw1qd
    @anshkumar-nw1qd 3 роки тому

    Sir was planning to do data analysis course according to your 3months plan wanted to know that i can do that course with any basic laptop of 4gb ram, i3 intel or i need much higher configuration laptop? (I'm asking about each and every tools which i have to learn)

    • @codebasics
      @codebasics  3 роки тому

      I think it should be okay. I have not tried BI tools on such configuration so it is something you need to try an you will figure it out yourself

  • @AKSHAY99552
    @AKSHAY99552 3 роки тому

    Sir, can you please make a video on word2vec technique 🙏

  • @asifgul4810
    @asifgul4810 3 роки тому

    Sir can u running an institute
    I want to learn data scientist
    I have done my graduation in commerce if no
    Then give me a one suggestion which institute is best for to learn data scientist

  • @rahul-khichar-iitgn
    @rahul-khichar-iitgn Місяць тому

    Kindly provide the slides
    Thanks

  • @swaralipibose9731
    @swaralipibose9731 3 роки тому

    Audio classification please 🙏

  • @rj00502
    @rj00502 2 місяці тому

    See I request you to use analogy which everyone in India understands. In this video , the analogy is hindi words not understanding for us students of southern India. @codebasics you have fans throughout India but expecting respect for everyone equally

  • @خلیلشاھ-ش9ع
    @خلیلشاھ-ش9ع 3 роки тому

    Where is slides?
    i need slides.

  • @raa__va4814
    @raa__va4814 2 роки тому

    im struggling to understand what multiple neurons are doing here ... shouldnt we just need one neuron to do all this

  • @abcd-qq9zb
    @abcd-qq9zb 2 роки тому

    07:46:00

  • @chintapallitejesh8172
    @chintapallitejesh8172 3 роки тому +2

    Bitcoin mining with Actuall Bitcoin ecosystem please

  • @manvirsingh3727
    @manvirsingh3727 3 роки тому +2

    Please sir make a video on nlp

    • @codebasics
      @codebasics  3 роки тому +1

      A dedicated NLP tutorial series is coming up soon

  • @parthpatwari3174
    @parthpatwari3174 6 місяців тому

    "Tensorflow, Keras & Python"
    where are they in your video?
    although you explained the concepts nicely but please don't mislead people from next time

  • @basmahalsohbani5986
    @basmahalsohbani5986 3 роки тому

    Why arabic translat can not

  • @mugambo5505
    @mugambo5505 7 місяців тому

    nice clarification

  • @vaizerdgrey
    @vaizerdgrey 2 роки тому

    wait, is your name Dhaval?

  • @binilrajadhikari2643
    @binilrajadhikari2643 3 роки тому

    sir, can you please explain the math needed for learning data structure and algorithm?

  • @ajaykushwaha4233
    @ajaykushwaha4233 2 роки тому

    Golgappa 😋😋