Tensorflow Lite Tensorflow Dev Summit 2018 Information Center
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TensorFlow Lite (TensorFlow Dev Summit 2018)
Eager Execution (TensorFlow Dev Summit 2018)
TensorFlow Dev Summit 2018 - Livestream
Debugging TensorFlow with TensorBoard plugins (TensorFlow Dev Summit 2018)
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Last Updated: June 11, 2026
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Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ... Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). We have seen tremendous advances in many different areas of machine learning. The use of
Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Derek Murray discusses tf.data, the recommended API for building input pipelines in Edd Wilder-James announces a new set of mailing lists to help communication and coordination, the expansion of the SIG ... Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... TFLite developed more than 10 example apps that show not only how to use the model, but also the E2E code the
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