Machine Learning

A talk featuring some introductory materials on Generative AI and why it matters to students and early-career professionals, followed by some details about the Vertex AI Model Garden and how they can leverage it for quickly developing and validating ideas related to Image and Text Generation.

A comprehensive talk that comprised of 3 separate sessions, each detailing different levels of understanding of Machine Learning with focus on Beginner, Intermediate, and Advanced topics.

A talk detailing how to get started with Distributed Training, important concepts and historical context, potential issues and troubleshooting tips, along with a demo on how they can use it with Keras and JAX

A talk around Computer Vision, the most important concepts to know from the field at the intersection of Deep Learning and Computer Vision, and how to use KerasCV to accelerate development.

A talk around Computer Vision, the most important concepts to know from the field at the intersection of Deep Learning and Computer Vision, and how to use KerasCV to accelerate development.

We use representations from a teacher to directly train the student network, and prove that it leads to a quicker convergence and better performance.

We use state-of-the-art OCR and NMT techniques to develop an ingenious method of translating books and other documents from one language to another with high-accuracy.

A talk that explores the Vertex AI suite of features that can help jumpstart a developer’s journey into AI-powered tooling, and how Model Garden can be used to make interesting features through APIs.

A talk around Computer Vision, the most important concepts to know from the field at the intersection of Deep Learning and Computer Vision, and how to use KerasCV to accelerate development.

A talk around Computer Vision, the most important concepts to know from the field at the intersection of Deep Learning and Computer Vision, and how to use KerasCV to accelerate development.