April 2024
Plus explore the latest in Keras, improvements to TensorFlow Lite, on-device LLMs, and more.
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Learn the latest at Google I/O
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Google I/O returns on May 14, 2024! Tune in for keynotes, sessions and workshops covering the latest in machine learning and AI.
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People of AI
interview with Francois Chollet, creator of Keras
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Listen to a discussion on deep learning, the evolution of Keras from creation to multi-backend Keras 3, and the intelligence of LLMs.
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Faster dynamically quantized inference with XNNPack
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Learn about the benefits of dynamic range quantization and how you can combine it with half-precision to improve on-device CPU inference performance.
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Gemma on-device with MediaPipe and TensorFlow Lite
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Watch a demo from
Gemma Developer Day
showing how to deploy Gemma models on-device using the MediaPipe LLM Inference API.
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Training gradient boosted trees with custom loss
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Learn how to define a custom loss function for TF-DF models. For robust features, a simpler API, and faster training times, you can
migrate
to the YDF library.
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Stay Connected
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Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
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