Divyashree Shivakumar Sreepathihalli
Divya is a talented machine learning software engineer who is currently a part of the Keras team at Google. In this role, she specializes in developing Keras core modeling APIs and KerasCV to improve the functionality of the software.
Divya has an impressive track record of delivering successful conference talks, including the Southern Data Science Conference and the Women in ML Symposium. Prior to joining Google, Divya worked as a Deep Learning Scientist for Zazu Sensor, a startup group in Intel's Emerging Growth Incubation (EGI) group. Her work there focused on computer vision and deep learning algorithm development for object detection and tracking, resulting in significant advancements for the startup.
Before her time at Zazu Sensor, Divya worked as a Platform Architect at Intel's Client Computing Group, where she was responsible for developing proof of concepts for innovative solutions in anonymized computer vision applications. Her efforts resulted in several successful patents being filed, bringing substantial value to the organization.
Divya completed her Masters in Computer Engineering from Texas A & M University where she focused on Artificial intelligence in 2017.
Sessions
This tutorial introduces Keras, a powerful deep learning library and demonstrates how to enable generative models using Keras. The first part delves into the Keras training pipeline and extended modules. The second part explores image generative models using stable diffusion, with live coding examples to generate novel images and teach the model new concepts. Finally, you'll explore language generative models, including GPT and BART, with a live coding example that demonstrates how to enable these models. By the end of this tutorial, you'll have a solid understanding of how to harness Keras to create powerful AI applications.