Deploying ML models to mobile devices // TRAIN BRAIN

Deploying ML models to mobile devices

Generative AI offers a massive step function change in the capabilities of traditional ML models, unlocking a wide range of use cases. In this workshop, you will learn how to deploy a lightweight generative model that is optimized to run on mobile devices and customize it by applying LoRA weights.
Speaker: Zoe Wang
Watch more:
Watch all of the Women in ML Symposium sessions → https://goo.gle/WiML23-all
Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow
#WIMLsymposium

TensorFlow

Welcome to the official TensorFlow YouTube channel. Stay up to date with the latest TensorFlow news, tutorials, best practices, and more! TensorFlow is an open-source machine learning framework for everyone....

Can AI increase the speed in which we solve problems?

Building human-centered AI products with Ovetta Sampson

Personalizing healthcare with AI

Ideas for using NotebookLM?

Building AI responsibly

Responsible AI panel at DevFest Silicon Valley 2024

What is Checks?

3-step approach to mobile app compliance with Checks co-founders Fergus Hurley and Nia Castelli

Revolutionizing sign language with AI

How AI is revolutionizing sign language recognition with Sam Sepah and Thad Starner

Season 4 is here!

Gus and Ashley talk AI visionaries, developers, and consumers - Season 4

Google I/O Special with Sachin Kotwani

Google I/O Special with Mat Velloso and Logan Kilpatrick

Upskill your career in AI

Tris Warkentin - Introducing Gemma, Google's family of open models

Deep dive into TensorFlow Ranking for recommendations

How to perform object detection with KerasCV

Accelerate embedding lookup operation (Building recommendation systems with TensorFlow)

Perform text classification with KerasNLP

Generate images with stable diffusion using KerasCV

Overview of KerasCV and KerasNLP

Generate text with KerasNLP

How to leverage KerasCV for image classification

Augmenting image data with Keras CV

Take action and start building with Google AI

The impact of Generative AI in different industries

From recovering Pro Golfer to AI Entrepreneur

Community matters: 8 reasons why you should be involved with Kaggle

AI-powered infrastructure: Cloud TPUs

Latest Generative AI products and solutions on Google Cloud

Unlock the power of Generative AI: From understanding its principles to utilizing its power

Deploying ML models to mobile devices

Keras: Shortcut to AI mastery

Prototype ML with Visual Blocks

How autonomous agents will support data exploration

Data-centric AI: A new paradigm

The future of frameworks: Navigate the OSS landscape

What's new in Machine Learning Keynote

Enabling anyone to build with Google AI

On-device fetal ultrasound assessment with TensorFlow Lite

Simon Tokumine - Gemini and the future of Generative AI tools

Top 5 takeaways from Women in Machine Learning Symposium 2023

Tulsee Doshi - Responsible AI and human centered technology

3 reasons to attend Women in ML Symposium 2023

You’re invited to the Women in ML event

Training a TensorFlow Decision Forests model using gradient boosted trees

Join us at the third annual Women in ML Symposium

How Random Forests make predictions

Shaping the future of AI to be more inclusive and approachable

Top AI/ML announcements from Google I/O 2023

What's new in Generative AI at #GoogleIO in less than 1 minute

What's new in Machine Learning at #GoogleIO in less than 1 minute

What's new in Generative AI - American Sign Language

What's new in Machine Learning for Google Developers - American Sign Language

Discover pre-trained models with Kaggle Models

What's new with Web ML in 2023

Hands-on Responsible AI with the People and AI Guidebook

On-device Large Language Models with Keras and Android

How developers can get started with AI and ML

Safe and responsible development with generative language models

Applied ML with KerasCV and KerasNLP

What's new in TensorFlow

What's new in Generative AI

What's new in Machine Learning for Google Developers

Building more skin tone inclusive computer vision models

Made with TensorFlow.js highlights

Join us for the first Sign Language AI Competition on Kaggle #Shorts

Creating video classification models with Keras and TensorFlow

People of AI podcast coming soon! #Shorts

Loading and preprocessing video data with TensorFlow

Radiological image segmentation with Medseg - Made with TensorFlow.js

Announcing TFLite Task Library in Google Play Services

Join us for the first Sign Language AI Competition on Kaggle

In-browser percussion instruments with Drums-App - Made with TensorFlow.js

Get started with ML for web #Shorts

Reinforcement learning with Snake-RL - Made with TensorFlow.js

Motion interactive AR with Rotoflo - Made with TensorFlow.js

What’s new in TensorFlow 2.11

Building Neural Collaborative Filtering recommendation model