Image Generation with GANs

Abstract: 

Originally proposed by Goodfellow et al. the work titled Generative Adversarial Networks took the world by a storm. GANs have been described as one of the most exciting ideas in Deep Learning by Yann LeCun. This talk will introduce you to the world of Generative Models through the GAN lens. We will discuss how a simple game of adversaries leads to such powerful models. We will cover the evolution and advancement in the architecture of GANs along with some exciting use-cases. Towards the end we will go through a quick hands-on to generate images with GANs ourselves.

Session Outline:
- Machine Learning Landscape
- Generative Modeling
- Generative Adversarial Networks
- Challenges
- Evolution and Improvements in GANs
- Exciting Use-cases
- Generate Images : Hands-on

Background Knowledge:
- python
- machine learning basics
- keras/tensorflow/pytorch (optional)

Bio: 

Raghav is a seasoned Data Science professional with over a decade's experience of research & development of large-scale solutions in Finance, Digital Experience, IT Infrastructure and Healthcare for giants such as Intel, American Express, United HealthGroup and DeliverHero. He is an innovator with 7+ patents, a published author of multiple well received books & peer-reviewed papers and a regular speaker in leading conferences on topics in the areas of Machine Learning, Deep Learning, Computer Vision, NLP, Generative Models and Augmented Reality.

Open Data Science

 

 

 

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