Hello Sir Thank you for this tutorial it really helped me alot but I have a question, may i ask how to know the optimal batch size and epoch when you have large dataset? in my case I have 150000 observation
Thank you for the tutorial, it is just brilliant. what if we set loss equal to focal loss instead of direct cross-entropy, how you will consider this change?
Hello. Another great tutorial. I seem to have a problem of no class_weights function in my keras. It doesn't pop up as an option and gives an error when I run it. Do you know if the ckass_weights function has been depreciated? I can find no documentation to this effect.
Thank you Mr Rai for your useful tutorial. it's very useful for us and it helps us to improve our comprehension for deep learning . i have a question about the number of the hiden layer or layer dense , howe can i chouse the optimum number in a study or ho can i creat a loop to test many layer in the same time ? and thank you very much
Great video. Thank you for the share. NZeroes looks like a categorical variable. Right? Should one not do the same to_categorical() for that? Its very good to see a Deep Learning video in R. These days most examples I see are in python for deep learning. Not sure why.
I would recommend going through following from the deep learning playlist for detailed calculations and meaning: Neural Networks in R: Example with Categorical Response at Two Levels th-cam.com/video/-Vs9Vae2KI0/w-d-xo.html
sir...for 3 class variables it works fine...but for 4 class variables... it doesnt work...even the confusion matrix doesnt show the 4th class variable....can u plzz help me with this problem....thanku
Thank you so much for the video and explanation Dr.Rai. Great as always
Glad it was helpful!
@@bkrai Fantastic Dr Rai. very much appreciate it.
Thank you very much for such helpful demonstration.
Thanks for comments!
Happy New Year Sir. I have been long waiting for your videos. Thank you so much for making tutorial on Deep Learning. Great Knowledge.
Thanks for your comments!
Great videos! Using your video I managed to achieve 86% in the first learning!
That’s great!
Hi Sir,
Your videos are helping me from my college days.
Thank you
Thanks for your feedback!
Happy new year sir....good video in new year
Thanks for comments!
Sir, have a question
I have to get the data from Hive using R. Will it possible to get the data using r from Hive.... please suggest
Hello Sir Thank you for this tutorial it really helped me alot but I have a question, may i ask how to know the optimal batch size and epoch when you have large dataset? in my case I have 150000 observation
It depends on the data. You may have to do some trials. See this link as an example:
th-cam.com/video/-S9ypgQioFE/w-d-xo.html
Thank you for the tutorial, it is just brilliant. what if we set loss equal to focal loss instead of direct cross-entropy, how you will consider this change?
You can run this and see if results improve.
Hello. Another great tutorial. I seem to have a problem of no class_weights function in my keras. It doesn't pop up as an option and gives an error when I run it. Do you know if the ckass_weights function has been depreciated? I can find no documentation to this effect.
Thanks, Dr. Could you teach us how to use Atom for running R codes?
Thank you Mr Rai for your useful tutorial. it's very useful for us and it helps us to improve our comprehension for deep learning . i have a question about the number of the hiden layer or layer dense , howe can i chouse the optimum number in a study or ho can i creat a loop to test many layer in the same time ?
and thank you very much
Great video. Thank you for the share.
NZeroes looks like a categorical variable. Right? Should one not do the same to_categorical() for that?
Its very good to see a Deep Learning video in R. These days most examples I see are in python for deep learning. Not sure why.
Thanks for comments! Note that NZeros is not a categorical variable.
Hello Dr. Rai. Can you please make a video on hypertuning of various parameters of DL in Keras R (like the same way we have in H2O R)
Thanks for the suggestion, I've added it to my list.
Hey Bharatendra, what does that mean adding 8 to 168 as bias term and adding 3 to 24 as bias term.
Please make me understand.
Thanks
I would recommend going through following from the deep learning playlist for detailed calculations and meaning:
Neural Networks in R: Example with Categorical Response at Two Levels th-cam.com/video/-Vs9Vae2KI0/w-d-xo.html
a
Here is a way to overcome such errors:
th-cam.com/video/XVfn6IpoUPU/w-d-xo.html
sir...for 3 class variables it works fine...but for 4 class variables... it doesnt work...even the confusion matrix doesnt show the 4th class variable....can u plzz help me with this problem....thanku
Note that in the last layer I used units-3 because I had 3 classes. If you have 4, you should use 4.
can you please make a video on how to make an webapp for generating ML predictions
Thanks, I've added this to my list.
Sir I want your help
let me know where I can help.
Can you please share the R file?
I've uploaded the link now.
@@bkrai Awesome. Thank you
How can contact u
you can use this or send me an email.
Sir your mail id ?
I am unable to install_keras()
Are you using Mac or Windows?
Window
@@yogitasolanki4638 Hi.. i am also facing the same issue for installing keras..Were you able to resolve the problem?