GANs (generative adversarial networks) are computational structures that pit two neural networks against one other (thus the name "adversarial") to produce fresh, synthetic examples of data that can pass for real data. They're commonly utilized in the picture, video, and speech creation.
In this session, we will talk about different use cases in building the GAN and also some TensorFlow use cases that might help you in understanding the GAN Architecture.
No Prerequisites are required.
Vishwas Narayan,Bangalore, India
A technophile and a Flutter developer, Vishwas considers experimenting the key to the technology. As a student, he was a part of different communities. He has also been a speaker for Community Meetups and the Event Computer Architecture Club, Google Crowdsource, the Pie & AI Bangalore chapter, IEEE, and more.
Reach out to Vishwas:
Infinite Sum Modelling
Principal Data Scientist