Published May 7, 2019

TensorFlow Dev Summit 2019

Dive into the exciting developments at TensorFlow Dev Summit 2019, featuring insights on TensorFlow Federated for secure machine learning, advances in AI deployment with TensorFlow Lite and TensorFlow.js, and user-friendly updates in TensorFlow 2.0 to streamline deep learning. Plus, learn about the upcoming TensorFlow World Conference, promising to foster innovation and community engagement across the ecosystem.

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Episode Highlights

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Dexa/Practical AI

TensorFlow Dev Summit 2019

Topics covered

Popular Clips

Gripping the Magic

Exploring Tensorflow 2.0

Understanding Empathy

TensorFlow 2.0 and Keras

Healthy Ways of Change

Interesting Announcements

Grasping Tensorflow's Eager Execution

AI USB Sticks

Pushing AI to the Edge

Pythonic vs Graph-Oriented Approach

Privacy Trends

Applied Brain Science

Exciting TensorFlow Updates

TensorFlow 2.0 Insights

Episode Highlights

Extensions and Add-ons

Conference Announcements

AI on Edge

TensorFlow 2.0 Enhancements

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TensorFlow Dev Summit 2019

Topics covered

Popular Clips

Episode Highlights

Extensions and Add-onsThe episode explores TensorFlow Federated, a framework for decentralized machine learning, emphasizing privacy and efficiency. It also covers performance enhancements like Mesh TensorFlow and the integration of TensorFlow Datasets for improved data handling.

Extensions and Add-ons

Conference AnnouncementsThe upcoming TensorFlow World Conference aims to expand community engagement and showcase innovative case studies. It promises to be a hub for learning, networking, and sharing groundbreaking work in the TensorFlow ecosystem.

Conference Announcements

AI on EdgeThe discussion shifts to TensorFlow Lite and its impact on deploying AI models on mobile and IoT devices. The conversation also explores TensorFlow\.js, highlighting its role in bringing machine learning to web environments and enhancing data management.

AI on Edge

TensorFlow 2.0 Enhancements

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