Sequence To Sequence Learning With Neural Networks| Encoder And Decoder In-depth Intuition
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- เผยแพร่เมื่อ 11 ก.ย. 2024
- Sequence To Sequence With Neural Network Research Paper:
papers.nips.cc...
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To be really honest , I started watching this channel as a supplement to other online courses.. But now after watching many of your vedios , I am using your channel as my primary source of information and I barely have the need of other online classes.. Thankyou soo much and keep the good work going!
Really helpfull, much much needed, keep doing, am watching your all playlist.... Thanks for all ur videos
One thing sir, when i started deep learning i thought how would i implement concept through Keras blah blah...but now i m much comfortable in deep learning.. same now it is happening with NLP, please sir complete this playlist from seq2seq, attention, transformers and last BERT so we can implement them easily..
Last but not least thanku 3000 sir👏👏
Thanks sir for considering BERT topic
Can you do a data science resume review session?
It will be helpful
Bell Icon Helps yaar... Really. Hit it!
Sir , a small request from my side that, would you please include Autoencoders and its types and projects related to it in your upcoming plan's list ?? Please sir and sir also please try to include the Hybrid Models like ( CNN- Autoencoders , LSTM-Autoencoders etc ) in your list sir . Please sir . Please respond .
Sure
The kind of explaining thing’s simply, thank you!
Please make a video on GRU
I was looking for the same. Thanks bro
Thank you so much sir for short and crystal clear concept video
Much needed sir, Need some guidance how to start and go with deep learning...
Follow deep learning Playlist of krishnaik channel or u can complete the deeplearning.ai specialization from coursera, all the best☺️
@Krish Naik sir, Is language transliteration is also an use case of sequence to sequence nn?
Hi there I came across your video while searching on a way to make a model that takes 3 input (uniqeid - variable integer - time stamp) and output a series of digits like 123467 but not knowing the method to encrypt it .what Iam trying to do is teaching the model to create new output without the encryption method
Sir can you please make video on inference model for encoder and decoder with attention model
sir u didn't make any vedio in GRU so please sir make it ASAP
Great explanation
Great explanation man!
Eagerly waiting sir.
At any time step, the decoder not only takes previous output as input but also context vector as input !? Correct me if I am wrong.
Great explanation sir.Keep doing it sir!
Sir.. please make a video about how to start learning deep learning with tensorflow
Very informative session
Great Sir, your hair growth is improving. Hope you get your all hairs sooon
Brilliant👍
Super explanation
Sir, can you do a video along with the implementation of the hierarchical attention network?
Thanks Krish
Hi,
Have u made any videos on image captioning, if yes can pls provide link of the playlist and if no then can pls make a video on image captioning
Here back propagation happens at Encoders only right??
Sir can you please make video lecture on abstractive summarization.
I work on security domain . Can you please make video on how we use ai/ml in security domain
Can u please explain how glove embeddings are built
Hi Krish.....can you upload something about ctc loss function
Sir there are only few samples for English to telugu translation in manythings.org I need the information from where I can get the big dataset for English to telugu translation
Sir.. Can you please if possible explain GAN and AEGAN for sequence to sequence model...Please
Sir, can you please let me know how to tune transfer learning algorithms like VGG16, Resnet. How to choose number of epochs.
Regarding Number of epochs it depends on model that you are training. you have to choose the number of epochs carefully when training models. With a small number of epochs, you may not have trained sufficiently. With a larger number of epochs, it looks like validation accuracy typically starts to go up after some number of epochs. My point is it's hard to choose number of epochs. Either you can do hyper parameter tuning or you use use early stopping as well if your model is over fitting. My option would be early stopping over other regularisation methods.
I hope I tried answering your question.
@@LikithVibes Thank you for the good answer.
please make a video on Attention model
sir no video for GRU found plz make it as well
there is no GRU video in play list
I'm having the same problem, can't find it either
where is GRU, not seen in this tutorial
Krish sir , this video u have uploaded duplicate videos in your deep learning playlist
It's a bug
Bro, who don't u create a tutorial of rnn on python
Link for next Attention model video?
how encoders back propagate??
next video link? in continuation to this video.
Thanks! but seq-to-seq with RNN are relatively old and slow. Nowadays CNN are used for seq learning.
when the next comes on transformer
He is promoting all videos 😂😂😂
Please make a video on GRU.