TensorFlow Dev Summit 2018 → https://goo.gl/YU2GLu
Android Studio → https://goo.gl/A35BeN
Google Fonts Korean support → https://goo.gl/Si8Jyp
MobileNetV2 → https://goo.gl/kWc96a
Cloud Functions for Firebase v1.0 → https://goo.gl/osJ2Pa
Kubernetes Engine from GitLab → https://goo.gl/ouHUjL
VPC Flow Logs → https://goo.gl/rVpnis
This week’s TL;DR is led by Google Developer Advocate Reto Meier. TL;DR is where you can stay up to date on all the latest developer news from across our developer teams at Google.
Check out the latest TL;DR episodes → https://goo.gl/cHuQkL
Subscribe to the Google Developers channel → http://goo.gl/mQyv5L
TensorRT & TensorFlow 1.7, Android Studio 3.1, Google Cloud Text-to-Speech & More! – TL;DR 106TensorRT and TensorFlow 1.7 → https://goo.gl/qGCJyW
Android Studio 3.1 → https://goo.gl/cn2UeW Wear OS by Google → https://goo.gl/k5GaZT Stackdriver APM and Stackdriver Profiler → https://goo.gl/dsTgLM Cloud Text-to-Speech → https://goo.gl/MtvKRL Kubernetes Engine Private Clusters → https://goo.gl/QQCC8m Today’s TL;DR is led by Google Developer Advocate Timothy Jordan. The TL;DR is where you can stay up to date on all the latest developer news from across our developer teams at Google. Check out the latest TL;DR episodes → https://goo.gl/cHuQkL |
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Channel: Google Developers Published: 2018-04-05 18:43:43 Duration: 2M42S Views: 7650 Likes: 304 Favorites: 0 |
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Machine Learning in JavaScript (TensorFlow Dev Summit 2018)Nikhil Thorat and Daniel Smilkov discuss TensorFlow.js, which is TensorFlow’s new machine learning framework for JavaScript developers. It supports building ML models in JavaScript, and training and deploying them in browser for execution using WebGL. They focus on tensorflow.js-Core which is a rebranding of deeplearn.js, and a new high-level layers API to make it easier to develop ML models in JavaScript. Initial set of converters for converting saved TF models into JS is also being released.
Visit the site → https://js.tensorflow.org/ TensorFlow Dev Summit 2018 All Sessions playlist → https://goo.gl/Lsaq1R |
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Channel: TensorFlow Published: 2018-03-30 19:15:42 Duration: 22M14S Views: 31190 Likes: 1175 Favorites: 0 |
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Build an Awesome TensorFlow Image Classifier in 10 Minutes!For the code snippets and references: https://nikhilsrambles.substack.com/p/how-to-build-an-insanely-good-image-classifier-in-under-10-minutes
Personal: http://nikhilreddy.io Twitter: http://bignikhilreddy.io |
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Channel: Nikhil Reddy Published: 2018-02-04 18:06:45 Duration: 8M28S Views: 27344 Likes: 340 Favorites: 0 |
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TensorFlow Object Detection on iOSIn this interview of AI Adventures, Yufeng interviews Developer Advocate Sara Robinson to talk about a custom object detection iOS app she built to detect Taylor Swift. We’ll cover everything from training a model with transfer learning, to serving the model in the cloud, to making prediction requests to the model from an iOS device (in Swift!).
Associated Medium blog post: https://goo.gl/SKL5Ro Sara’s original Medium blog post: https://goo.gl/hKvZfV TensorFlow Object Detection on GitHub: https://goo.gl/QYThDb Watch more AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51 |
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Channel: Google Cloud Platform Published: 2018-03-01 20:50:53 Duration: 13M7S Views: 4922 Likes: 143 Favorites: 0 |
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Jupyter Tips and TricksIn this episode of AI Adventures, Yufeng journeys to Jupyter to bring back some tips and tricks for your data science workflow!
Associated Medium post “Jupyter tips and tricks”: https://goo.gl/Xi3ffq Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51 |
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Channel: Google Cloud Platform Published: 2017-12-14 17:18:04 Duration: 6M10S Views: 12654 Likes: 342 Favorites: 0 |