Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Improve README.md #7

Merged
merged 5 commits into from
Mar 18, 2018
Merged

Improve README.md #7

Changes from 1 commit
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
1214589
Improve README.md
caisq Mar 18, 2018
631ae13
Layer -> Layers
caisq Mar 18, 2018
8ba1a3f
Merge branch 'master' into readme
caisq Mar 18, 2018
dd07310
Response to Daniel's comments
caisq Mar 18, 2018
dd25b78
Respond to Nikhil's comments
caisq Mar 18, 2018
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Respond to Nikhil's comments
  • Loading branch information
@caisq
caisq committed Mar 18, 2018
commit dd25b7852241a29e627daf309163c0841cb132a1
11 changes: 6 additions & 5 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,12 +1,13 @@
# TensorFlow.js: Union Package

A part of the [TensorFlow](https://www.tensorflow.org) ecosystem,
TensorFlow.js is a machine learning framework for JavaScript developers.
It supports building, training and serving machine learning models in the
browser using WebGL acceleration. You can also import pre-trained TensorFlow
TensorFlow.js is a JavaScript library for building, training and serving
machine learning models. When running in the browser, it utilizes WebGL
acceleration. TensorFlow.js is a part of the
[TensorFlow](https://www.tensorflow.org) ecosystem.
You can import pre-trained TensorFlow
[SavedModels](https://www.tensorflow.org/programmers_guide/saved_model) and
[Keras models](https://keras.io/getting-started/faq/#how-can-i-save-a-keras-model),
for execution and retraining in the browser.
for execution and retraining.

For more information on the API, follow the links to their Core and Layers
repositories below, or visit [js.tensorflow.org](https://js.tensorflow.org).
Expand Down