Why RNNs are needed | RNNs Vs ANNs | RNN Part 1
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- Опубликовано: 3 июл 2024
- A recurrent neural network (RNN) is a class of artificial neural networks where connections between nodes can create a cycle, allowing output from some nodes to affect subsequent input to the same nodes. This allows it to exhibit temporal dynamic behavior.
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⌚Time Stamps⌚
00:00 - Intro
00:45 - Sequential Data
07:35 - Why Use RNN?
17:00 - Reasons
20:30 - Demo and Applications of RNN
28:07 - Roadmap for RNN
IF I would have power to give top ranking of teaching AI, then I would give Sir Nitish. Love from Pakistan.
Recurrent Neural Networks (RNNs) ke kai applications hain jinmein ye sequence data ko handle karna important hota hai. Yahan kuch common applications hain:
1. **Language Modeling:**
- RNNs ko language modeling mein use kiya jata hai, jaise ki next word prediction tasks.
2. **Speech Recognition:**
- Awaz ko text mein convert karne mein RNNs ka istemal hota hai.
3. **Time Series Prediction:**
- RNNs time series data, jaise stock prices, weather data, aur sensor readings ke prediction mein kaam aate hain.
4. **Natural Language Processing (NLP):**
- Sentiment analysis, text summarization, aur machine translation jaise NLP tasks mein RNNs ka istemal hota hai.
5. **Video Analysis:**
- Video frames ko analyze karne aur sequential information ko capture karne ke liye RNNs ka istemal hota hai.
6. **Generative Models:**
- RNNs ko generative models banane mein use kiya jata hai, jismein naye data points generate kiye ja sakte hain.
7. **Robotics:**
- Sequential decision-making problems mein, jaise ki robotic path planning, mein RNNs ka istemal hota hai.
8. **Healthcare:**
- Medical data, patient monitoring, aur disease prediction mein RNNs ka istemal hota hai.
9. **Financial Forecasting:**
- RNNs ko financial data analysis mein use kiya jata hai, jaise stock market trends predict karne ke liye.
10. **Game Playing:**
- Sequential decision-making problems in games mein RNNs ka istemal hota hai.
RNNs sequential information ko handle karne mein expert hote hain, lekin long-term dependencies ko capture karne mein kuch challenges hote hain jinhein LSTM (Long Short-Term Memory) aur GRU (Gated Recurrent Unit) jaise architectures se address kiya jata hai.
pagal hai kya?
खतरनाक सर, Very informative
u r amazing sir u teach very well and in very depth. i also bought one paid course but your course is far much much better than that course. thanku so much sir.
Very well explained sir. Thank you a lot 🙂
Sir, very thankful video.
Great explanation sir.
Well explained. Thanks a lot :)
Happy diwali Nitish bhai!
Love your videos, helps me brush up my knowledge!
really your videos are amazinggggggg n so simple to understand
Happy Diwali sir....waited for many times
Nicely introduced RNN, Thanks
Superbly explained !!!!!!!!!!!!!!!!!
Your explanation are superb awesome ❤❤❤ sir ❤
Happy Diwali Sir. Nice roadmap for RNN. I am very excited to learn it.
Very good explanation
One of the best 👏🏻
Thank You Sir.
Happy Diwali bhai, Excited to learn RNN
Volume issue in this video while showing the examples. The videos are so awesome! 👌
You never let us down. ❤🔥🔥🔥🔥🔥🔥
Bhaiya you are great!!!
You're really saviour for my project.
can u tell us abt your project
Thank u very much sir it was much awaited.
Thank you sir!!!
It would be really helpful if you can make videos on Transformers, LSTMs, LLMs within this playlist.
Sir please make a video on "attention is all you need " research paper and transformer architecture
@@Shuraim843 can u elaborate
Thank you very much, dying to learn LSTM from you.
Mo
Mo
Nailed it 😀
Superb
Thanks sir
Happy Diwali Bro...
Awaiting for your next video pls
Tq so much sir
good content
finished watching
Kindly make video on LSTM also.
Ran sentimet analysis on few comments and enjoying learning
Please make video on Graphical neural network. Please compare it with CNN and why such generalisation is needed?
i have seen your videos while i'm doing my internship ,it assist me a lot and gained ample amount of knowledge thorough your videos brother. we are so appricaite you the way of teaching and explaining each and every concept.
where u did yr internship and how did u get it?
Sir It's hard to understand Yolo please make a magical video on that.
Also can you make a video on semantic analysis in order to recommend user on the basis of their semantic which is submitted by user on a website.
Krish pls upload a video on implementation of capsule neural network..on dogs n cats daatset
Happy diwali sir ji
Sir I can't get your lecture video on autoencoder and VAE ??? Pls make video on these two
sir please complete this playlist , eagerly waiting
Awesome video sir.😍😍😍 sir LSTM ka video kab aaiga?
best
17:00-->20:30 Why we need RNN
Please make video on xgboost as same as you have made for adaboost
why ANN has no sequence information ? if sequence changes so does order of 1d one hot encoded vector changes ? its like normal input sequence change in normal ANN , and ANN can be trained for all possible sequence in the world ? Only issue is related to sparse and large no of weights to be trained ?
as the order will change, but still if you see your entire input data set it will still remain same
Sir how to convert a ensemble model into a federated learning model?
Hi Nitish,If possible please upload 2 videos per week..I would request you to finish FEATURE SELECTION in ML,DBSCAN,XGBOOST,ROC-AOC CURVE ,NLP ADVANCE ,PYTHON 100 DAYS AND MLOPS PLAYLIST ALSO
Bhai jaaan lele bande ki 😂
Don't worry his 7th month complete data science course is starting from 7 th nov and he will cover everything from SQL to deployment...for free☺️
@@readbhagwatgeeta3810 ,Its paid course boss not free
@@nikhiliyer8436 No it's for free. Extra features like doubt clearing, interview preparation and last project section are paid but the class which will be occur every mon, tue and wed will be available for everyone.
@@readbhagwatgeeta3810 ,I know man so what about current playlist of NLP,DL and PYTHON which still not finished ,from now he will only care about this classes only
sir please video on encoder decoder architecture and explain it
Attention Mechanism
Transformers
00:02 Recurrent Neural Networks (RNNs) are a special type of neural networks used for sequences and NLP tasks.
03:51 Sequential data is a type of data where the sequence of elements matters
07:34 The need to represent sequential data in neural networks
12:26 The first sentence has the maximum number of words with 5 words.
17:18 The problems of wearing size and unnecessary computation in ANM on sequential data
20:48 Sentiment analysis and sentence completion
23:00 RN has various interesting applications.
25:38 The model can understand and answer questions related to a given paragraph.
28:29 The video discusses back propagation in time and the problems arising in RNN
sir can you make series on GANs.?
my PhD in NLP carreer totaly dependent on you.
sir plase make a video on LSTM, bi-LSTM, GRU
complete playlist
Sir please explain the encoder and decoder. Really found it hard.
24 hrs energy prices, solar power output 24 hrs kya ye sab bhi sequential data hai?
Learning RNNs
August 12, 2023😊
pakistani channel se parh ne
mulle
plz make a video for transformer too.Can't for this
sir RNN ka plan of attack is fire
😊
Sir Complete this Pleylist please
African Love birds behind the scenes😅
sri we have remove name word nitesh
Is label encoding before or after train test split?
after
sir, when is the new data science course going to start, i joined and ever since you have not any new stream ??
It will start from 7th November
@@campusx-official can you give a pdf on the roadmap of course and how long it will take??
@@hotsizler305 ruclips.net/video/nLcFyNlLmu4/видео.html
See this video. I have discussed everything here.
Sorry to say but far better than krish naik sir videos.
Race 3 ka review analysis 😂