What’s new in TensorFlow 2.4 ?
TF 2.4 is here! With increased support for distributed training and mixed precision, new NumPy frontend and tools for monitoring and diagnosing bottlenecks, this release…
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Using Model Card Toolkit for TF Model Transparency
Machine learning (ML) model transparency is important across a wide variety of domains that impact peoples’ lives, from healthcare to personal finance to employment. At…
Iris landmark tracking in the browser with MediaPipe and TensorFlow.js
Iris tracking enables a wide range of applications, such as hands-free interfaces for assistive technologies and understanding user behavior beyond clicks and gestures. Iris tracking…
Boosting quantum computer hardware performance with TensorFlow
Google recently announced the release of TensorFlow Quantum – a toolset for combining state-of-the-art machine learning techniques with quantum algorithm design. This was an important…
Bringing the Mona Lisa Effect to Life with TensorFlow.js
Urban legend says that Mona Lisa’s eyes will follow you as you move around the room. This is known as the “Mona Lisa effect.” For…