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AI and Machine Learning from Google lets you responsibly create, deploy and manage machine learning models for desktop, micro, mobile, web, and cloud.
Learn what Google is doing in the AI and machine learning space, from developer APIs to state of the art research.
Get the latest on our AR developer tools, including the new ARCore Geospatial API.
Mobile, web, and backend developers: Adding machine learning to your app is easier then you'd expect!
Learn why MLOps is important for any product, and how TFX helps make it real
Learn how developers are using crowdsourcing tools like Task Mate (beta) to address data quality and representation bias
Learn how to author, optimize, and deploy a custom TensorFlow Lite model in your Android and iOS apps.
Join us for a dive into what's new with Keras, the human-friendly ML library.
Get a practical overview of Vertex AI capabilities by building a fraud detection system app.
Learn how to become a Google Cloud machine learning developer in five steps.
Hear the latest updates from Google Coral for developing AI/ML solutions at the edge.
Would you like add ML to your app in a hurry? Learn about the fastest, easiest-to-use ML tools and how to use them.
AI & ML on a Raspberry PI. Get hands on with object detection and sound classification with standard and custom models.
Lessons learned, resources, and tools from Google’s ethics review teams who support developers building AI applications.
Get a tour of what's new for web developers with TensorFlow.js – from new models to improved tooling!
Understand patterns and practices for distributed training and data for large-scale models.
Learn about new Android accessibility features: Braille, summarizing photo content, listening in noisy environments.
Updates on the latest APIs and early access programs for machine learning on Android.
Get a deep dive on ARCore, including the APIs for tracking and placement and ML models for improving your experiences.
Learn to use the Dynamic World dataset and apply responsible innovation practices for large-scale social benefit.
Learn how to stand on the shoulders of giants, and customize their models with your data for your scenarios!
Get hands-on experience with running large scale hyperparameter tuning and distributed training jobs on Vertex AI.
Walk through product fairness testing methods and responsible AI tools, from the technical and societal points of view.
Make your own version of "Teachable Machine" that can leverage transfer learning in the browser to recognize anything!