Google has now released MobileNets, a family of computer vision models for TensorFlow. What’s special about these? They run entirely on the lower-power mobile devices that we all carry around in our pockets.
Tensorflow Stories June 15
GOOG: 942.31
-8.45
Tensorflow Stories May 17
GOOG: 919.62
-23.38
Google launches Google.ai site, announces powerful new Google Cloud TPUs
While on stage today at Google I/O 2017, CEO Sundar Pichai announced the company’s second generation TPUs (Tensor Processing Units), a cloud-computing system of software and hardware that aid in machine learning workloads.
Tensorflow Stories February 15
GOOG: 818.98
-1.47
Google releases TensorFlow 1.0 w/ better performance, new API modules, more
TensorFlow (which is Google’s open source machine learning software that now powers applications like Google Translate and many Google Photos features) has now reached a major landmark: its 1.0 release. The 1.0 release was announced as part of the first annual TensorFlow Developer Summit, and Google also published details on its Developers blog.
Tensorflow Stories January 10
GOOG: 804.79
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One of the more notable features of the Snapdragon 835 processor announced at CES 2017 was TensorFlow support. In a blog post, Qualcomm notes several performance boosts as a result of optimizing the chip for Google’s machine learning framework.
Everyone can use an Echo Dot: Just $50!
Tensorflow Stories June 7, 2016
GOOG: 716.65
0.10
Google this week has published a new version of its TensorFlow machine learning software that adds support for iOS. Google initially teased that it was working on iOS support for TensorFlow last November, but said it was unable to give a timeline. An early version of TensorFlow version 0.9 was released yesterday on GitHub, however, and it brings iOS support.
Tensorflow Stories May 19, 2016
GOOG: 700.32
-6.31
Machine learning — a branch of Artificial Intelligence that studies pattern recognition and computational learning — is at the core of many of Google‘s products. Everything from voice search to Maps‘ Street View down to Inbox‘s recently introduced Smart Replies (which are making their way into the just announced Allo) take advantage of machine learning’s incredible capabilities.
However, Google too seems to acknowledge, “great software shines brightest with great hardware underneath”. This is why, over the past several years, the company has worked on a custom ASIC (application-specific integrated circuit) named Tensor Processing Unit (TPU), and it is unveiling it today…
