MLSS-Indo-VAE-GAN

From Lia Anggraini to Everyone: (9:57 AM)

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a bit sleepy but feeling awesome for today's lecture! :D its NLP


From Operator CLOVE 10 to Everyone: (9:57 AM)

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:D


From Georgios to Everyone: (10:00 AM)

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Good morning everyone from the UK.


From Tisa Siti Saadah to Everyone: (10:00 AM)

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fine


From Mohd to Everyone: (10:00 AM)

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Morning


From Tisa Siti Saadah to Everyone: (10:00 AM)

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morning


From Robby Hardi to Everyone: (10:00 AM)

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morning


From Paola to Everyone: (10:00 AM)

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Hi :)


From Ebuka Oguchi to Everyone: (10:00 AM)

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Good Morning


From Ayuni Mohamed to Everyone: (10:00 AM)

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good morning from Malaysia


From Mohd to Everyone: (10:01 AM)

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Ended at 11pm for me last night


From Operator CLOVE 10 (Ade) to Everyone: (10:04 AM)

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you can give questions on rocket chat, #lecture11 channel


From Operator CLOVE 10 (Ade) to Everyone: (10:15 AM)

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apologize for a technical glitch


From Operator CLOVE 10 (Ade) to Everyone: (11:05 AM)

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Hello all! I think Katharina already join here, so please write your questions on the rocket chat!


From Operator CLOVE 10 (Ade) to Everyone: (11:19 AM)

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Hi all, please feel free to give questions to Katharina


From Dedy Rahman Wijaya to Everyone: (11:28 AM)

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Can be CNN and RNN combined for NLP?


From Sabrina to Everyone: (11:30 AM)

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yes


From Wawan Cenggoro to Everyone: (11:30 AM)

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yes we can


From Rian Adam Rajagede, S.Kom., M.Cs. to Everyone: (11:30 AM)

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yes we can


From Maryam Fatima to Everyone: (11:48 AM)

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I really like how energetic the lecturer is. :) Thanks Katharine


From Ebuka Oguchi to Everyone: (11:48 AM)

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Thank you


From Lia Anggraini to Everyone: (11:48 AM)

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thank you katharina


From Dedy Rahman Wijaya to Everyone: (11:48 AM)

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thank you


From Georgios to Everyone: (11:51 AM)

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Thank you


From Georgios to Everyone: (12:01 PM)

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Good morning


From Tisa Siti Saadah to Everyone: (12:04 PM)

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morning


From Sabrina to Everyone: (12:05 PM)

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morning everyone


From FIF - Agung Toto Wibowo - 06810035 to Everyone: (12:08 PM)

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morning all


From Operator CLOVE 10 to Everyone: (12:09 PM)

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Feel free to ask on rocket chat at #practical5 channel


From Risnandar, Ph.D. to Everyone: (12:09 PM)

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If any question or comment to this session, please chat in rocket


From Arif Qodari to Everyone: (12:25 PM)

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got this error `ValueError: total size of new array must be unchanged, input_shape = [147], output_shape = [7, 7, 32]` could you go back up a bit please?
decoder I think
thanks, there was typo


From Risnandar, Ph.D. to Everyone: (12:27 PM)

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yes, I think so typo


From Faldi Sulistiawan to Everyone: (12:33 PM)

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what is the purpose of conv2dtranspose in the architecture?
okay, thank you


From Georgios to Everyone: (12:37 PM)

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In colour images, can we use variational Autoencoder to extract image colour information?
Thank you


From Mawanda A to Everyone: (12:41 PM)

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Can the distribution be other than Gaussian?


From Risnandar, Ph.D. to Everyone: (12:42 PM)

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ok, next questions if any


From Mawanda A to Everyone: (12:44 PM)

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What if the distribution that have more than 2 parameters?
Like skewed distribution


From Faldi Sulistiawan to Everyone: (12:47 PM)

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in all of the variation of VAE, do we just need the mean and logvar the input? or there is a kind of VAE that requires more than just that two parameters?
okay, thank you


From Mawanda A to Everyone: (12:55 PM)

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How can we compare the performance of the result from both of the models? Are there any specific metrics?
AE and VAE
Ok, I see


From Hariyanti Binti Mohd Saleh to Everyone: (12:58 PM)

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Hi, boss Andit..how if we want to reduce KL loss weight...how to code..thanks..


From Arif Qodari to Everyone: (1:01 PM)

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the plot_history seems has different scales than the actual loss value?
in VAE


From Mawanda A to Everyone: (1:02 PM)

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Sorry for slightly OOT, did you just mentioned about U-Net? How can we connect the layers to a model in keras if there is a skip connection in the layer?


From Georgios to Everyone: (1:04 PM)

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Can you please show again the correction in Plot History?


From Mawanda A to Everyone: (1:08 PM)

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Do we need to use low level or middle level of tensorflow instead of Keras API?
For the skip connection things


From Georgios to Everyone: (1:11 PM)

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Thank you


From Mawanda A to Everyone: (1:11 PM)

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Thank you for the explanation


From Hariyanti Binti Mohd Saleh to Everyone: (1:12 PM)

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Hi Boss Andit, is there any tips to be good in mathematics in Tensorflow? especially to play around with algorithm. any reference..thanks..


From Georgios to Everyone: (1:15 PM)

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What is the GitHub link for the 5b?
Thank you


From Risnandar, Ph.D. to Everyone: (1:15 PM)

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adf-telkomuniv
github


From Wawan Cenggoro to Everyone: (1:17 PM)

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I found that it is easier to understand math in a paper by using Siraj's tips on how to read paper: https://www.youtube.com/watch?v=SHTOI0KtZnU


From Wawan Cenggoro to Everyone: (1:17 PM)

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Though he is less credible now because of his scandal
Another good video on how to read a research paper: https://www.youtube.com/watch?v=Uumd2zOOz60


From Risnandar, Ph.D. to Everyone: (1:20 PM)

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thanks @wawan


From Hariyanti Binti Mohd Saleh to Everyone: (1:20 PM)

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TQ


From Wawan Cenggoro to Everyone: (1:21 PM)

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you're welcome


From Risnandar, Ph.D. to Everyone: (1:21 PM)

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questions or comments or anything else, please feel free


From Hariyanti Binti Mohd Saleh to Everyone: (1:22 PM)

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Btw, Wawan,, i don't have problem to understand in papers..but i'm facing problem when I want to implement the algorithm in TF..
any tips on that?


From Wawan Cenggoro to Everyone: (1:23 PM)

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I see, sorry for the misunderstanding
I find that tensorflow is somehow just an advanced version of numpy


From Wawan Cenggoro to Everyone: (1:24 PM)

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I always code using tensorflow/pytorch by imagining the matrix manipulation exactly like if I code it using numpy


From Ebuka Oguchi to Everyone: (1:25 PM)

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How do know the best loss function to use? How do we know how many times to train the generator per discriminator update


From Mawanda A to Everyone: (1:27 PM)

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Are all the other variant of GANs based on the same Generator + Discriminator concept?
Thank you, awesome


From Georgios to Everyone: (1:30 PM)

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Thank you very much.


From Tuan Anh VU to Everyone: (1:30 PM)

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thank you so much