249 - keras implementation of Conditional GAN (cifar10 data set)

Code generated in the video can be downloaded from here:
github.com/bns...
Conditional Generative Adversarial Network cGAN
A GAN model generates a random image from the domain.
The relationship between points in the latent space and the generated images is hard to map.
A GAN can be trained so that both the generator and the discriminator models are conditioned on the class label (or other modalities).
As a result, the trained generator model can be used to generate images of a given type using the class label (or other condition).
GAN can be conditioned using other image modalities (image to image translation).
The conditioning is performed by feeding the class label into both the discriminator and generator as additional input layer.
A few applications:
Image-to-Image Translation: Pix2Pix GAN
CycleGAN: Transform images from one set into images that could belong to another set.
Super-resolution: Increase the resolution of images, adding detail where necessary to fill in blurry areas.
Text-to-Image Synthesis: Take text as input and produce images as described by the text.

[@fahd2372]

Most tutorial videos on youtube who go over code just skim over it and describe it in very few words and they seem like they themselves don't understand the code but DigitalSreeni really understands the code well, to the point where he can explain the code pixel by pixel. He always gives a reasoning for each number that you see on the screen and although the videos are long, his way of thoroughly examining the code really makes it easy for us students to understand. Thank you so much for your amazing work sir!

[@DigitalSreeni]

I teach the way I like to be taught. Luckily some people like my way of teaching and I am glad you learn the same way as I do.

[@avaneet100]

It had been difficult to understand the deep learning from other tutorials. Seeing your tutorial videos are clear with code and nice slides. thanks for awesome tutorial

[@RolitoJrIbale]

One of the best KZbinr doing deep learning tutorial... Thank you men.

[@MovieTheater69]

Thank you for your imazing content. Much appreciated.

[@bikramkeshariparida5639]

Thank you for your simple explanation and amazing contents. I am interested to learn implementation of GAN in 3d reconstructuion.

[@alex-beamslightchanal8743]

Thank you for your tutotial. Very helpful!

[@plabmadeeasy]

Amazing!

[@ameerazam3269]

Again Great Sir

[@caiyu538]

Great series.

[@malice112]

What if you have multiple labels(in a matrix) you would like to train with the images?

[@ahmednezar3254]

What a video I have a question does the embedding vector needs to be of size 1x50 or can I make it 1x100 etc...?

[@kainatshah5441]

sir plz can you make a video on corona virus detection using deep learning approach by using restricted boltzmann machine.there is no video on net how to use deep belief network using restriced bolzmann machine for image classification. plz make a detail video on this .along with the required library of dbn.

[@hizzuhishaam9392]

Great explaination with code sir, I think that this is the only video that illustrate with the CGAN code sir. I have my own leaf image dataset sir. I am working on Medicinal Plant Identification for Data agumentation I choose Conditional GAN. Can you please help me to give our own dataset and change the layers for image (224 * 224 * 3). I need your help sir and a mentor for my project sir. how can I contact you sir can you share your mail. Thank you in advance sir.

[@benjaminsymon]

thanks very nice!

[@chihebjamazi3439]

great tutorial

[@AIinAgriculture]

Sir, Please do one video on Semantic segmentation of images with PixelLib using Ade20k model.

[@saidokieh2493]

Good tutorial

[@manojrangera1580]

@DigitalSreeni - Is there any way we can get image labels also?

[@derilraju2106]

It would be awesome if you could also provide the pretrained models :)

[@abdulaziztarhuni]

😍🥰

[@aggreym.muhebwa7077]

Thank you for the amazing tutorials. I have tried implementng GANS with Satellite images, but the results are never great. Would you be able to do a video for us on GANS + satellite imagery? Thank you.

[@1keck596]

You could may use a more advanced architecture such as progan or stylegan

[@rohithbalan2295]

sir is the code is available for real time images in CGAN

[@rohithbalan2295]

sir this code is available

[@DigitalSreeni]

Please look at the video description for the link to my GitHub with code.

[@rohithbalan2295]

@@DigitalSreeni sir is the CGAN code is available for real time images

[@AmanVerma-pe8sd]

@@rohithbalan2295 add some images and change output image shape(according to your requirement ) of generator and similarly modify some layers of discriminator and u can use it for your real world images and add image labels according to your need.

[@rohithbalan2295]

I need this code

[@DigitalSreeni]

Please look at the video description for the link to my GitHub with code.

[@rohithbalan2295]

@@DigitalSreeni sir CGAN code is available for real time images

[@kainatshah5441]

i have request from you many months ago.plz sir make video on deep belief network using restriced bolzmann machine for image classification.