A Friendly Introduction to Generative Adversarial Networks (GANs)

Amazing summary of GANs with the simplest but concise explanations. Thank you!

really nice illustrations!! Understand the gan now

One of the best explanations of the subject I have ever seen, congratulations, you are an excellent teacher!

Perfect explanation until for a simple man

Excelente explicación !

You sound alot like that DL instructor at Udacity, are you?

How can we apply this to regression problem?

nice , thank you

really good job.

simply amazing. Thank you so much for your efforts🙏

U are the best!. Master teacher.🙏🙏

attend your math in coursera, waiting for probability.

Simple and easy narration. Thank you sir

This is one of the best explanation i ever read/watched

best video ever, thank you so much!

Such a simple and great explanation. Thank you!

Outstanding explanation!!!!

good explaining

sir i need your ppt would you like to share with me?

amazing tutorial! I was looking into the maths and was wondering why you multiplied the discriminator weights into the generator derivative function. Is it because the generator output needs to pass through the discriminator to get its prediction?

簡單清晰易明

Love that you broke down of concepts to micro level. Made the understanding of GAN's so simple and yet detailed. Appreciate it.

Mr Serrano thank you for existing.

I was struggling to understand this.... Your video made it so clear and easy to understand... Thank you soooooooo much...... ☺

Best explanation of GAN in YTB

Thanks!

such a good explanation

very nice explanation... I started learning GAN from zero, only have basic understanding about CNN. and from this video, I now understand how GAN works. Thank you

First of all, great video!
And a short question, what do you use to animate your video? The transitions of the arrows and so on all look so smooth.

No words would appreciate this rich explanation. I do like the visuals, mathematics and codes when they come together. Also, Your language was easy and smooth. You made the complex topic so easy to comprehend. Great thanks.

All support for your channel

SIMPLY THE BEST EXPLANTION

Ah yes [1 0 0 1] the mega chad ultimate beauty among the slanted people

Thanks!

Thanks for the slow transition and yeah i am not really good in maths and not yet much into more harder python. Its really useful than other videos out there.

Wow, good job! You gave me a very good sense of how it works and explained the loss function really well. I finally understand. Thank you!

Simply amazing!

Thanks a lot sir for such an easy explanation...

hmmm

Thank you very much for this nice and very helpful explanation of GANs.

Great video, very clear!

Hello sir,

Nice explanation sir

Can u plZ tell how we can use gan for data augmentation and deep learning alexnet /resnet-50/ vgg 16 for classification

I didn't expect this video until the end of the video. This is really helpful! Thank you

brilliance is the ability to take the complex and reduce it to simplicity. Brilliant work!

for sigmod function ： derivative of S(x) = S(x)* (1- S(x))

I wonder how to set bias?