Posts in category

Machine Learning


TF Dev Summit ‘19 | TensorFlow Federated (TFF): Machine Learning on Decentralized Data TensorFlow Federated (TFF) is an open-source framework for machine learning and other computations on decentralized data. TFF has been developed to facilitate open research and experimentation with Federated Learning (FL), an approach to machine learning where a shared global model is trained …

TF Dev Summit ‘19 | Exascale Deep Learning for Climate Analytics Climate change will have fundamental socio-economic impact and it is imperative for us to understand it better. This talk will show how TensorFlow was utilized on the world’s fastest supercomputer in order to extract pixel level segmentation masks of extreme weather phenomena in climate …

TF Dev Summit ’19 | What’s new in TensorBoard TensorBoard provides the visualization needed for machine learning experimentation. This talk will cover some exciting new functionality on using TensorBoard within Colab, an improved hyperparameter tuning with TensorFlow, and more. Speaker: Gal Oshri, Product Manager

TF Dev Summit ’19 | Powered By TensorFlow: Helping Paleographers Transcribe Medieval Text Using Machine Learning Machine learning is helping to solve challenging, real-world problems around the world. See how In Codice Ratio (http://www.inf.uniroma3.it/db/icr/), a research project made up of engineers, paleographers, and archivists, is using machine learning powered by TensorFlow to help humanities scholars …

TF Dev Summit ‘19 | TensorFlow Lite TensorFlow Lite is TensorFlow’s solution for running machine learning across resource constrained platforms. In the talk we will go over the current state of TFLite, as well as the roadmap, from the point of view of four core competencies: conversion, optimization, acceleration, and usability. Speakers: Pete Warden, Software …

TF Dev Summit ’19 | Reinforcement Learning in TensorFlow with TF-Agents Learn how to use TensorFlow and Reinforcement Learning to solve complex tasks. Speakers: Sergio Guadarrama, Senior Software Engineer Eugene Brevdo, Software Engineer

TF Dev Summit ’19 | TensorFlow Hub: Reusable Machine Learning TensorFlow Hub is a library for reusable pieces of machine learning. In this talk we will refresh when you would want to use it, talk about how it integrates with TF-2.0, and present some new modules added to https://tfhub.dev since last year. Speaker: André Susano …

TF Dev Summit ’19 | In Codice Ratio: Machine Transcription in the Vatican Secret Archive The “In Codice Ratio” research project is developing a machine transcription system to speed up large scale search and knowledge discovery from historical archives. A custom CNN trained on crowdsourced annotations enables the system to deal with challenging medieval handwriting. …

TF Dev Summit ’19 | Powered by TensorFlow: Utilizing Deep Learning To Better Predict Extreme Weather Machine learning is helping to solve challenging, real-world problems around the world. See how a team of engineers and researchers at NERSC (National Energy Research Scientific Computing Center) at the Lawrence Berkeley National Laboratory (https://www.nersc.gov/) and NVIDIA (https://www.nvidia.com/en-us/) are …

TF Dev Summit ’19 | Swift For TensorFlow: The Next-Generation Machine Learning Framework TensorFlow is about innovation. In this Swift for TensorFlow session, you will learn about language-integrated automatic differentiation, and tooling optimized for your productivity. Speakers: Chris Lattner, Distinguished Engineer Brennan Saeta, Software Engineer