New release TensorFlow 1.2.0-rc1
TensorFlow
 |
|
| Developer(s) | Google Brain Team[1] |
|---|---|
| Initial release | November 9, 2015 |
| Stable release |
1.0[2] / February 15, 2017
|
| Repository | github |
| Development status | Active |
| Written in | Python, C++, CUDA |
| Platform | Linux, macOS, Windows, Android |
| Type | Machine learning library |
| License | Apache 2.0 open source license |
| Website | www |
TensorFlow is an open source software library for machine learning across a range of tasks, and developed by Google to meet their needs for systems capable of building and training neural networks to detect and decipher patterns and correlations, analogous to the learning and reasoning which humans use.[3] It is currently used for both research and production at Google products,[3]:min 0:15/2:17 [4]:p.2 [3]:0:26/2:17 often replacing the role of its closed-source predecessor, DistBelief. TensorFlow was originally developed by the Google Brain team for internal Google use before being released under the Apache 2.0 open source license on November 9, 2015.[1][5]
—————————————————-
There is a new release TensorFlow 1.2.0-rc1
@av8ramit av8ramit released this May 27, 2017 · 1 commit to r1.2 since this release
Release 1.2.0
https://github.com/tensorflow/tensorflow/releases/tag/v1.2.0-rc1
There are a lot of video tutorial on tensor flow
Start for example with this one:
Learn TensorFlow and deep learning, without a Ph.D., Thursday, January 19, 2017 By Martin Görner, Google Cloud Platform Developer Advocate
or this one:
Effective TensorFlow for Non-Experts (Google I/O ’17)
##