This presentation will discuss both the fundamentals and the advanced topics of Generative Adversarial Networks (GANs). We will essentially cover the following topics that are necessary to understand GANs:
- Generative Models
- High-level introduction to GANs
- Math background
- Drawbacks of vanilla GANs
- Variations of GANs
- Evaluation of GAN
Pls download the presentation slide: Dr_Arghya_Pal_FDP_NITW_GAN_2021.pptx. You are free to use this material for your class lectures and other talks. Feel free to distribute and spread the knowledge.
Pls, download the code: GAN_Tutorial.ipynb. You can directly run the code on Google colab (using the link open it in Colab) and check the results. On the Colab page, pls change the Runtime --> change runtime type --> and check the hardware acceleration to GPU to use the flavor of "running GPU for a code."
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