github.com-tensorflow-tensorflow_-_2017-06-09_22-35-42
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TensorFlow is an open source software library for numerical computation usingdata flow graphs. Nodes in the graph represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible architecture lets you deploy computation to oneor more CPUs or GPUs in a desktop, server, or mobile device without rewritingcode. TensorFlow also includes TensorBoard, a data visualization toolkit.
TensorFlow was originally developed by researchers and engineersworking on the Google Brain team within Google's Machine Intelligence researchorganization for the purposes of conducting machine learning and deep neuralnetworks research. The system is general enough to be applicable in a widevariety of other domains, as well.
If you'd like to contribute to TensorFlow, be sure to review the contributionguidelines.
We use GitHub issues fortracking requests and bugs, but please seeCommunity for general questionsand discussion.
Installation
See Installing TensorFlow for instructions on how to install our release binaries or how to build from source.
People who are a little more adventurous can also try our nightly binaries:
- Linux CPU-only: Python 2 (build history) / Python 3.4 (build history) / Python 3.5 (build history)
- Linux GPU: Python 2 (build history) / Python 3.4 (build history) / Python 3.5 (build history)
- Mac CPU-only: Python 2 (build history) / Python 3 (build history)
- Mac GPU: Python 2 (build history) / Python 3 (build history)
- Windows CPU-only: Python 3.5 64-bit (build history) / Python 3.6 64-bit (build history)
- Windows GPU: Python 3.5 64-bit (build history) / Python 3.6 64-bit (build history)
- Android: demo APK, native libs(build history)
Try your first TensorFlow program
shell$ python```python
import tensorflow as tf hello = tf.constant('Hello, TensorFlow!') sess = tf.Session() sess.run(hello) 'Hello, TensorFlow!' a = tf.constant(10) b = tf.constant(32) sess.run(a+b) 42
```
For more information
The TensorFlow community has created amazing things with TensorFlow, please see the resources section of tensorflow.org for an incomplete list.
Computation using data flow graphs for scalable machine learning
Download the bundle tensorflow-tensorflow_-_2017-06-09_22-35-42.bundle and run:
git clone tensorflow-tensorflow_-_2017-06-09_22-35-42.bundle -b master Source: https://github.com/tensorflow/tensorflow
Uploader: tensorflow
Upload date: 2015-11-07
