Deep Learning 19: (1) Variational AutoEncoder : Introduction and Probability Refresher

legend

You are a magnificent teacher!

Incredible, awesome

Thank you Sir for providing detailed info of AE

Very useful information. Can you please create a video on Discrete VAE? Thanks!

well explained, hats off to you

Where Can I get the notebook?

Thanks so much, you are a legend!!

One of the best explanations I've seen. Thank you!!!

this is the best explanation I could I find! Thank you very much for your help. :)

great explaination
can we get lecture notes please?

Great lecture! Thanks for such detailed, structured and easy explanation. I'm amazed! subscribed immediately)

At first I struggled with the accent, but by the end of the video I was comfortable with it. Great lecture, dude. Thanks!

In Variational Autoencoder. How the variable no. of bits are allocated for encoding.

highly appreciated!

Great explanation... thank you sir.

Hi @Aklad Kumar, to join the channel it says the cost is 6,000 CLP/month. How much is a CLP unit equivalent to US $?

Great lecture! One question only. Why are we assuming p(x) (in P(y/X)) to be the union of N mutually exclusive event of y?

这口音，太重了

You sir are an absolute legend. To make us understand about Autoencoders you literally EXPLAINED probability from the most basic level of tossing a dice. Hats off

Thank you very much, Sir. Your videos are very good and you explain everything from scratch covering every minute detail. Thank you.

really cool sir....mind blowing lectures ...keep going

After watching the videos the VAE seems so easy to me. Can you please make a video on "Attention all you need" paper? Many Thanks.

Simply Amazing ! Thanks for such lectures.

very careful explanation. thank you.

Hello Ahlad, thanks for the great content. I think there might be an error in the law of total probability. The X is an arbitrary event and not the union of the mutually exclusive event. Keep up the good work.

Thank you very much sir. You are amazing.

For the theorem of total probability, should it be that yi is collectively exhaustive?

Perfect! Thanks :)

Precise Explanation. Thanks :)

Thanks for your amazing courses.
Very easy to follow

hii one question did u explain convolutional neural network in any or your video? i couldn't find.

Can i have ur lecture slides plzzzzz

Sir thank you for this series, is incredible, this will be a great help to understand the concept.