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TensorFlow
TensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production.
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TensorFlow retweeted
Raphael Meudec Jul 31
Excited to share tf-explain, a 2.0 compatible Python library for interpretability! First release happened this week, with several algorithms you can use on your models or as tf.keras callbacks. Feedback welcome!
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TensorFlowWorld Aug 12
The Call for Proposals is open for the World Poster Session! Don’t miss your opportunity to present and discuss your work with fellow attendees. Submit your proposal by September 26.
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TensorFlow Aug 16
SPIRAL is an RL agent that generates images by interacting with off-the-shelf graphics software. We've released 9 agents trained to paint portraits of imaginary people in just 19 brush strokes on ! For more, see: →
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TensorFlow Aug 16
How can we use deep learning to solve big problems? Learn about the use of machine learning for healthcare and robotics, and how it's changing many aspects of our computing hardware and software systems. Watch here →
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TensorFlow Aug 15
Are you a passionate developer and want to work with machine learning? We're hiring a Developer Advocate for the TensorFlow.js team — ML qualifications preferred but not required! Help us bring ML to the browser (and , too) →
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Microchip Makes Aug 4
"Building on the initial demo built by the team at Google, has invested a lot of time over the last month into iterating the tooling around the speech demo to make it easy to build and deploy models."
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TensorFlow Aug 14
In the final episode of Real World Machine Learning in Production, explains how TensorFlow Extended () helps detect and fix problems with your models and your data, and why that’s important to your business. 💼 Watch here →
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TensorFlow Aug 13
Learn how VoyagerX used TensorFlow Lite GPU and deep learning to scan books and flatten curved pages in this guest post by the team. Read here →
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Andrew Ng Jul 31
The final course of the TensorFlow Specialization is now available on Coursera! You’ll learn how to build time series models, and at the end you’ll train a deep neural network on real-world data to predict sunspot activity:
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Nicolas Papernot Aug 9
We just released a vectorized variant of differentially private stochastic gradient descent in TensorFlow Privacy, which provides significant performance boosts by parallelizing some of the per-example gradient computations! Feedback is welcomed
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TensorFlow Aug 12
Learn how to use TF.js with Node.js! On Aug. 21, the TensorFlow.js team will be hosting an online webinar and live Q&A session. We’ll discuss acceleration options and show how to set up the library, make predictions, and train models. Register here →
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Shanqing Cai Jul 30
Chapter 9 of "Deep Learning with JavaScript" was recently released to . It covers the basics of generative deep learning (VAE, GAN, & RNN-based sequence generation) and how to train and serve such models in TensorFlow.js.
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TensorFlowWorld Aug 9
Users. Creators. Enterprises. for all. Come power the revolution at the inaugural , presented by Best Price ends TONIGHT—register now and save
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TensorFlow Aug 9
In this age of technology, it’s important to preserve privacy for sensitive data. Federated Learning keeps privacy in mind without centralizing data while allowing edge devices to use machine learning. Learn more here →
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Nikhil Thorat Jul 17
The TensorFlow.js team will be hosting an online webinar on using TF.js with Node.js on Aug 21! We'll get you set up with the library, train a model / make predictions, and discuss acceleration options. We'll also hold a live Q&A session. Register here:
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Martin Görner Aug 5
The end-to-end canonical Keras on TPUs sample was updated for Tensorflow 1.14: (also at )
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TensorFlow Aug 7
🤔🙋‍♀️Q&A! Developer Advocates and give us answers. Is Swift for TensorFlow for iOS programming? What about Kotlin for TensorFlow? And more... More questions? Use to get your answers. Watch here →
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TensorFlow Aug 7
Are you a TensorFlow.js n00b? is! He's using machine learning to build an app that tags images. He says that prepping data  requires thinking like an ML system, which is difficult because machines don't "think" like us. Learn more ↓
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TensorFlow Aug 6
⚙️Distributed processing and components! Deploy your ML applications to production. In this episode of Coding TensorFlow we talk about distributed processing and the standard components that come with TFX. Watch here →
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TensorFlowWorld Aug 5
Come power the revolution at the inaugural , presented by Best Price ends this week—register now and save
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