Why RNNs are needed | RNNs Vs ANNs | RNN Part 1
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
Пікірлер: 79
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.
IF I would have power to give top ranking of teaching AI, then I would give Sir Nitish. Love from Pakistan.
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.
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.
Happy diwali Nitish bhai! Love your videos, helps me brush up my knowledge!
It would be really helpful if you can make videos on Transformers, LSTMs, LLMs within this playlist.
@Shuraim843
6 ай бұрын
Sir please make a video on "attention is all you need " research paper and transformer architecture
You're really saviour for my project.
Very well explained sir. Thank you a lot 🙂
खतरनाक सर, Very informative
Happy Diwali Sir. Nice roadmap for RNN. I am very excited to learn it.
Great explanation sir.
really your videos are amazinggggggg n so simple to understand
Thank you very much, dying to learn LSTM from you.
@shrikant136661
Жыл бұрын
Mo
@shrikant136661
Жыл бұрын
Mo
Volume issue in this video while showing the examples. The videos are so awesome! 👌
Nicely introduced RNN, Thanks
Your explanation are superb awesome ❤❤❤ sir ❤
You never let us down. ❤🔥🔥🔥🔥🔥🔥
Very good explanation
Sir, very thankful video.
Sir I can't get your lecture video on autoencoder and VAE ??? Pls make video on these two
Happy Diwali sir....waited for many times
Thank You Sir.
Happy Diwali bhai, Excited to learn RNN
Kindly make video on LSTM also.
Well explained. Thanks a lot :)
One of the best 👏🏻
Thank you sir!!!
Please make video on Graphical neural network. Please compare it with CNN and why such generalisation is needed?
Bhaiya you are great!!!
good content
Thank u very much sir it was much awaited.
Krish pls upload a video on implementation of capsule neural network..on dogs n cats daatset
Is label encoding before or after train test split?
Awaiting for your next video pls
Superb
Happy Diwali Bro...
Ran sentimet analysis on few comments and enjoying learning
Thanks sir
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.
Sir how to convert a ensemble model into a federated learning model?
finished watching
Tq so much sir
Learning RNNs August 12, 2023😊
sir please complete this playlist , eagerly waiting
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
Please make video on xgboost as same as you have made for adaboost
Happy diwali sir ji
Awesome video sir.😍😍😍 sir LSTM ka video kab aaiga?
sir please video on encoder decoder architecture and explain it Attention Mechanism Transformers
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 ?
@Pushprajgour
2 ай бұрын
as the order will change, but still if you see your entire input data set it will still remain same
sir can you make series on GANs.?
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?
sir plase make a video on LSTM, bi-LSTM, GRU
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
@indianengineer5802
Жыл бұрын
Bhai jaaan lele bande ki 😂
@readbhagwatgeeta3810
Жыл бұрын
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☺️
@nikhiliyer8436
Жыл бұрын
@@readbhagwatgeeta3810 ,Its paid course boss not free
@readbhagwatgeeta3810
Жыл бұрын
@@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.
@nikhiliyer8436
Жыл бұрын
@@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
plz make a video for transformer too.Can't for this
17:00-->20:30 Why we need RNN
my PhD in NLP carreer totaly dependent on you.
sir, when is the new data science course going to start, i joined and ever since you have not any new stream ??
@campusx-official
Жыл бұрын
It will start from 7th November
@hotsizler305
Жыл бұрын
@@campusx-official can you give a pdf on the roadmap of course and how long it will take??
@campusx-official
Жыл бұрын
@@hotsizler305 kzread.info/dash/bejne/oICXqNuHnK_TpZc.html See this video. I have discussed everything here.
complete playlist
best
sir RNN ka plan of attack is fire
African Love birds behind the scenes😅
Sir Complete this Pleylist please
sri we have remove name word nitesh
😊
Race 3 ka review analysis 😂