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Thanks for the compliment, Muralitharan! Please mention your email id (it will not be published). We will forward the code and dataset to your email address.
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Hi Raaghav, thanks for watching the video! The Long Short-Term Memory network or LSTM network is a type of recurrent neural network used in deep learning because very large architectures can be successfully trained. Hope this helps!
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Thanks a lot. It was what helped me to understand what is going on in the LSTM structure. I think The second multiplication on the top of input gates layer should be sum function instead.
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Thank you Chakradhar! :) Have you checekd out our AI and Deep Learning course, yet? If not, here it the link: www.edureka.co/ai-deep-learning-with-tensorflow Cheers :)
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Hey A I, num_units refers to the number of hidden units is a direct representation of the learning capacity of a neural network -- it reflects the number of learned parameters. You can change that value experimentally and rerun the program to see how it affects the training accuracy Hope this helps!
Hey Bharath, The bias is an "offset" added to each unit in a neural network layer that's independent of the input to the layer. The bias permits a layer to model a data space that's centered around some point other than the origin. Hope this helps!
Hey Singam, thanks for checking out our tutorial. Sorry to disappoint you but we do not have a course on Oracle apps DBA. You can check out our all course list here: www.edureka.co/all-courses. Do feel free to get in touch with us if you need any assistance choosing a course. Hope this helps. Cheers!
Thanh, we have shared the codes used with you. You should check out our AI and Deep Learning course here: www.edureka.co/ai-and-deep-learning Hope this helps :)
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka AI & Deep Learning Course curriculum, Visit our Website: bit.ly/2r6pJuI
I think there's something wrong with step 3 at the update stage. It's actually addition (+) not multiplication (x) on the memory cell.
After checking lots of RNN videos, I can say thank you for your excellent explanation
The best explaination I meet about RNN,helps me a lot, thanks Man !!
very clearly explained for rnn and lstm,thanks
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Sir, you have COMPLETELY clarified for me what actually IS an LSTM cell! Thank you very much for your lesson!
Good and nice explanation about RNN and LSTM. Please share the source code and data-set. Thanks in advance.
Thanks for the compliment, Muralitharan! Please mention your email id (it will not be published). We will forward the code and dataset to your email address.
Hats off sir. RESPECT infinity
Sir....can you plz do a video on composite GAN ??
It is great to know that our contents are helping you learn better and learn easy ! We are super glad to know and have learners like you with us. We'll definitely take your suggestion to the team and create content on this ! Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
Should i use RNN or LSTM for time series prediction ?
Hi Raaghav, thanks for watching the video! The Long Short-Term Memory network or LSTM network is a type of recurrent neural network used in deep learning because very large architectures can be successfully trained. Hope this helps!
you guys are doing amazing work ...your presentation itself speak everything .thank you so much @edureka !
So very clearly explained. Thank you. :)
hi sir,its great to understand rnn & lstm...can you help me with the source code and dataset...it will be very helpful...
Hey Pranjal ! Do share your mail id with us . We'll soon update you with the data sheets and source code :) Glad our channel is helping you . Do subscribe our channel and hit that bell icon to never miss an video from our channel .
Thanks for sharing it. This tutorial is great!
Thanks a lot. It was what helped me to understand what is going on in the LSTM structure.
I think The second multiplication on the top of input gates layer should be sum function instead.
Greetings, we are glad that you liked our content. Do subscribe and stay connected with us. Cheers :)
;)
Great tutorial. Thanks
Excellent and well delivered. Thanks
Very good introduction!
Great work..please share dataset and code..
Hey Mohan! Sure, give us your email ID and we'll share the data set with you. Thanks :)
Great explanation sir.Please give source code and dataset file.
Hi Samyuktha, kindly drop in your email id to help us assist you with the required source code and datasets for your reference. Cheers :)
Good explanation ! Please share source code and data set files
Hey Anju ! Glad you liked it ! We are glad to have learners like you .Drop your mail id in the comment section for us to share the data sheets or source codes . Do subscribe our channel and hit that bell icon to never miss an video from our channel .
Thanks for everything.. ..
nice explaination.......can u share the code and dataset please
Please share your email id.
Excellent.
Thank you Chakradhar! :) Have you checekd out our AI and Deep Learning course, yet? If not, here it the link: www.edureka.co/ai-deep-learning-with-tensorflow
Cheers :)
well explained
Very well explained. Thanks
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very nice explanation with a good use case sir can you please share the source code!!?
Hey Abhishek, we are glad you loved the video. Please do mention your email ID over here and we will send the files to you. Cheers!
Can i say that FFNN is good enough for simulating current data but LSTM/RNN is better at predicting future scenarios?
Hey Edward, yes you could say that.
gr8... gr8.... gr8...... explanation.......
Hey Mak, thank you for appreciating our work. It is a pleasure to serve learners like you. Cheers :)
great tutorial, can i have access to the code and data set? Thanks in advance.
Hey Pooja, sure. Mention your email address and we will send it over. Cheers :)
Can you please make a similar video on Hidden Markov Model
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could i please have access to the dataset and code thank you and great tutorial as always
Hey Himansu, sure. Mention your email address and we will send it over. Cheers :)
Could you explain what the meaning of num_units is in the tensorflow LSTM constructor? Thanks
Hey A I, num_units refers to the number of hidden units is a direct representation of the learning capacity of a neural network -- it reflects the number of learned parameters. You can change that value experimentally and rerun the program to see how it affects the training accuracy
Hope this helps!
Hi, could you please share the code and dataset? It will be really helpful for me to learn and practice..
Hey Lavanya, hope you liked the video. Please do mention your email ID over here and we will send the files to you. Cheers!
can you please share the source code and dataset of LSTM.
Please mention your email id (it will not be published). We will forward the code and dataset to your email address.
Could you please share the code for this .
Hey Ritesh, please do mention your email ID over here and we will send the files to you. Cheers!
please share the code and data set
Please share your email id with us (it will not be published). We will forward the code and dataset to your email address.
can i have access to the code and the dataset
Hey Kaleem, if you could please mention your email id(we won't publish it) so that we can mail the files to you. Cheers!
What is bias?
Hey Bharath, The bias is an "offset" added to each unit in a neural network layer that's independent of the input to the layer. The bias permits a layer to model a data space that's centered around some point other than the origin.
Hope this helps!
Can you provide code and data? Thank you.
Hi Jay, kindly drop in your email id to help us assist you with the required set of codes.
nice , may you please share the code
Please mention your email id (it will not be published). We will forward the code to your email address.
I get the link of that code?
Did edureka offering Oracle apps DBA course for beginners?
Hey Singam, thanks for checking out our tutorial.
Sorry to disappoint you but we do not have a course on Oracle apps DBA. You can check out our all course list here: www.edureka.co/all-courses. Do feel free to get in touch with us if you need any assistance choosing a course. Hope this helps. Cheers!
Please, you can share source code - data set in video and information course for me. Thank you!
Thanh, we have shared the codes used with you. You should check out our AI and Deep Learning course here: www.edureka.co/ai-and-deep-learning
Hope this helps :)
sir can I get the sample code ??
Hi Debjit, kindly mention your email id in the comments to help us assist you with the required source codes, cheers :)
sirr can u send me this source code
Hey Levi, sure. Mention your email address and we will send it over. Cheers :)
hello dear,
i am a student, may give me this code for the implement. Thank you
Please publish source code
Please share your email id.
please give me source code
Please mention your email id (it will not be published). We will forward the code to your email address.
could i please have access to the dataset and code thank you and great tutorial as always
Hey Sachin, sure. Mention your email address and we will send it over.
could i please have access to the dataset and code thank you and great tutorial as always
Hi Arpit, Can you please share your email id with us (it will not be published). We will forward the source code and dataset to your email address.