Examples of using The tensorflow in English and their translations into Chinese
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It's called the TensorFlow Processor Unit(TPU).
TensorBoard is a visualization tool from the TensorFlow team.
Last up we have the TensorFlow Machine Learning Cookbook.
What do we have learned about the Tensorflow architecture?
The TensorFlow project is bigger than you might realize.
The TensorFlow project is bigger than you might realize.
One of my favorites is the TensorFlow Object Detection API.
See how to get started participating in the TensorFlow community.
Also this solution offers the TensorFlow VGGish model as feature extractor.
There are plenty of resources, including tutorials at the TensorFlow site.
Expanded Framework Support- DeepLens now supports the TensorFlow and Caffe frameworks.
Welcome to part 3 of the TensorFlow Object Detection API tutorial series.
The Tensorflow team is currently working on making TensorFlow. js support Node.
You can think of the TensorFlow tensor as an n-dimensional array or list.
First, we will make an app that uses the TensorFlow C++ library.
The TensorFlow Serving project simplifies the process of serving TensorFlow models in production.
For details, see the Feature Columns chapter in the TensorFlow Programmers Guide.
Both AlphaGo and Google Cloud Vision were built on the Tensorflow platform.
The TensorFlow model repository continues to grow with an ever-widening set of models.
The TensorFlow graph that expresses the structure of how a prediction will be computed.