Course Content

 1.Pytorch

2.AI Introduction

3.CNN 

4.RNN

5.Application of Generative AI

6.GAN

• Mini Project1
• Mini Project2

7.Generator and Discriminator

8.Cross Entropy

9.Discriminator Loss

10.Coding Generator Class

11.Coding Discriminator Class

12.Optimizers

• Project1: Generate Images to Text
• Project2: Stable Diffusion

13.Interview Questions