Recent & Upcoming Talks

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 Neural Networks, what they are, how they can be applied and used in different domains, and a hands-on short demo on how to get started with making your own neural nets using 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 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 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.

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 that introduced a first-in-class integration of Keras with Pytorch-based HF models within Transformers through a hands-on workshop for approximately 40 folks in a joint talk with Soumik Rakshit (ML GDE, MLE @ Weights & Biases)

A talk to introduce Educators from across India to the Introduction To TensorFlow course on Coursera, developed by Laurence Moroney.

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 that was among the first talks ever delivered in the world that introduced Keras-Core, the newest iteration of Keras introducing a multi-backend environment.

A talk that introduced a first-in-class integration of Keras with Pytorch-based HF models within Transformers through a hands-on workshop for approximately 40 folks in a joint talk with Soumik Rakshit (ML GDE, MLE @ Weights & Biases)

A talk around the most pressing challenges within Machine Learning from a cybersecurity perspective.

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.

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 to introduce Educators from across India to the advances announced at Google I/O 2023 for Machine Learning.

A talk that explores Cloud Run, the Serverless Paradigm it introduces, some industry examples of how companies use them, and a small demo to show how efficient it can be.

A talk that explores how Machine Learning can be used to improve experiences for women using everyday tools.

A talk around how to make your models available on the Cloud using a bare Compute Engine

A talk around the different techniques of developing ML Models from scratch and how you can deploy them using Docker and Google Cloud.

A talk around how to use Ivy to supercharge ML development and forget the growing pains of converting code from one framework to another.