Hey everyone welcome back to new video,
this video is all about simple GAN. It takes you through
What GAN is?
How to one?
How it works?
Optimal Parameters which produces better results.
After this video I assure you that you will not have any doubts regarding GANs you will be able to create your own gan after this very easily.
Also we learnt about Discriminator and Generator which are two main backbones of GAN. For this video we trained gan on mnist dataset which means our gan would be able to generate real looking fake mnist images or handwritten images.
timstamps :
0:00 - Welcome
0:31 - Basics about GAN *imp
2:57 - Importing and getting , preparing data
5:57 - Defining Models
10:19 - Coding training part
15:42 - Training GAN
16:45 - Visualizing Results
17:35 - Got errors contact me via
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ALL THE CODES ARE HERE : github.com/Pawandeep-prog
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