Tutorial 29- Why Use Recurrent Neural Network and Its Application
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- เผยแพร่เมื่อ 11 ก.ย. 2024
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9:46 That speechless expressions tell you everything. Thank you sir
the passion, this guy has is all that keeps me going
Sir I don't know if this comment will suffice..but I just want to thank you for taking the effort to explain these concepts and sharing it to the world for free. I find your videos to be very helpful. Just letting you know that you're getting many people interested into machine learning and deep learning.
Thank you again. Please continue making many more videos
This video really helps me a lot , right now I m using RNN in my current project , thanks a lot Krish Naik sir
andrew ng of india.. salute u sir
@@salvindsouza7053 oh come on dude try to understand he's feelings for sir how he is trying to express his respect! chill bro
@@salvindsouza7053 teaching in such easy language is not an easy task. It is rather a very remarkable achievement. If it would have been that easy then people like you could have made their own videos instead of putting demoralising comments.
@@salvindsouza7053 Andrew Ng also copied it from somewhere and taught us, he is no god.
Love the enthusiasm and gravity with which you want us students to learn and understand how incredible is the world of deep learning. Thank you so much sir for all the knowledge you have provided us. Eternally grateful.
you are a great teacher. I have seen very few people who can simplify but still give the quality content. God bless you.
Hi Sir,
Your Video's are like boosting energy for everyone. Whenever I want to learn new topic automatically my fingers type your name with that topic name :).
Great Teaching skills sir! Keep it up! Thanks!
Sir Your Teaching is simply Super B.No More Questions asked.Some persons are dislike u r videos they allways find gap
Sir thank you for making me interested in ML in the year 2019. Till 2018, I just didn't like ML
I love watching your videos sir!!! They are way better than any paid udemy course. Thankyou very much for sharing your knowledge :)
BETTER THAN ANY COURSE YOU PAID PRIVATELY I SUGGEST YOU PLEASE DON'T WASTE WE HAVE KRISH BRO, ANDREW AND MANY MAN IN THE TH-cam COMMUNITY SO, DON'T WASTE..
Hi Krish, I really like your content, It will be very helpful if you can create a playlist related to time series forecasting ( involving the concepts of ARIMA, SARIMAX, ETS, Holt-Winters etc.)
Sir, nice video I liked it
Pls do provide sessions on lstm bi lstm and gru
you are one of my mentors. I really owe you. keep the good work up.
Dear Krish please do a video about Image captioning . Thank you for the videos , they are awesome, you are born for teaching 😍😍
Love this series, please do continue on this conceptual video series. Lots of love from a hobbyist
Image captioning is CNN + Any (RNN/LSTM)
Thanks for the video please post more videos on lstm and related to rnn this is what I asked you so many times..
Please post the 2nd video of lstm
Dear Mr. Krish your videos are inspiring. Thanks for it. Keep doing.
you are the best
Sir please create one playlist for NLP to SQL.
Love the energy, keep going sir
Thanks... Kindly make a videos on cascade neural network and numeric example..
Kindly make a series of videos on CNN-LSTM for video classification
Thanks for the awesome sessions. Do you also plan to create some sessions on reinforcement learning. Looking forward for some theory+practical sessions on RL.
Hi, Can you explain how sequence information is destroyed in word2vec ?
0:09 Can't stop myself from listening to it again and again 😂
Great..!! Really helpful. Please do more.
Sir the video helps a lot but not mich until translated into the code. If you can come up with examples of the implementation preferably only in numpy and vanilla python, it will increase the learning experience.
It's just a feedback
Love it when you do this 10:11
a google search is a recurrent NN application but how is specifically googleimage search an application , search text is converted to image, as you said, understood ! then what happens? is it like a reference image that is used to fetch all similar images ?
Thank you sir, this is amazing🙏
Very Nice, Sir Great
Could you also explain code for LSTM and GRU ?
lots of love sir from Pakistan
sir, You are Great
heyyyyy... you're intelligent man..... 🤣🤣🤣🤣❤
CAN u please make some more brief videos about the time series classification and data feeding in lstm etc using sensor data
Is Elman Recurrent NN or Simple Recurrent NN anonyms to each other or they r different in theory?
your expressions ;)
Thank you sir.
Please upload some worksheets for us to practice!!
Why is RNN better for sequence data rather than CNN ?
Enough explaination on RNN concept is not explained... same thing repeated again n again like sequence of information. you should explain how it retains sequence of information.
Thanks Krish
Can you tell examples in real world.so it will be better to understand easier
Does this technique Word2Vec maintains the sequence of words before applying to the model ?
Hello, Mr Krish can you give me one to one, AI/ML tution on suitable terms? I am doing PhD. Thanks.
Thanks 🙏💕
Can u tell me from which video i need to start basically like some index so that i can follow one after one
Check my complete deep learning playlist
Is it possible to classify 1d signal (like ecg) using cnn or rnn??
Sir Mai BCA distance s kar raha ho or muje koi bhii language nahi atii or mi networking m carrier banana chata ho plse sujjest or Mai konsa course s start karo plse any one plse help me to get best job in computer field
Go with appliedaicourse.com
@@krishnaik06 sir ye English m hai or online class kaha hai
Sir, I have a question, while in Time-series forecasting you have mentioned we will need RNN to predict the sales. But a simple linear regression can find the same. So do we really need RNN for those kind of Use-case
How to fuse features from multiple deep learning model.
how to make a model for RNN ? Script model RNN ?
Great video, but please speak slowly
Things are getting a little bit tougher
Whether to-idf handle timestamp and IP address
9:50 ok
😂😂😂😂😂😂last me kya tha
Anderson Barbara Perez Frank Harris Anna
Tf-idf *
Talks talks talks but no examples this does not prove anything!