Displaying 1 to 9 from 9 results

generator-generator - Generate a Yeoman generator

  •    Javascript

Refer to our documentation to learn more about creating a Yeoman generator.Run npm test to run your test suite.

TensorFlow-Tutorials - 텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

  •    Python

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다. 텐서플로우 공식 사이트에서 제공하는 안내서의 대부분의 내용을 다루고 있으며, 공식 사이트에서 제공하는 소스 코드보다는 훨씬 간략하게 작성하였으므로 쉽게 개념을 익힐 수 있을 것 입니다. 또한, 모든 주석은 한글로(!) 되어 있습니다.

tensornets - High level network definitions with pre-trained weights in TensorFlow

  •    Python

High level network definitions with pre-trained weights in TensorFlow (tested with >= 1.1.0). You can install TensorNets from PyPI (pip install tensornets) or directly from GitHub (pip install git+https://github.com/taehoonlee/tensornets.git).




gulp-chug - Run external gulpfiles as part of a gulp task inside another gulpfile

  •    Javascript

A gulp plugin for running external gulpfiles as part of a gulp task inside another gulpfile. gulp-chug is non-modifying, i.e., gulp-chug will return the same stream it receives. See Use with other plugins for an example.

cordova-plugin-tensorflow - On-device image recognition via TensorFlow/Inception

  •    Objective-C++

The plugin provides a TensorFlow class that can be used to initialize graphs and run the inference algorithm. To use a custom model, follow the steps to retrain the model and optimize it for mobile use. Put the .pb and .txt files in a HTTP-accessible zip file, which will be downloaded via the FileTransfer plugin. If you use the generic Inception model it will be downloaded from the TensorFlow website on first use.

powerai-transfer-learning - Image recognition training with TensorFlow Inception and transfer learning

  •    Python

Read this in other languages: 한국어. The pre-trained Inception-v3 model achieves state-of-the-art accuracy for recognizing general objects with 1000 classes. The model extracts general features from input images in the first part and classifies them based on those features in the second part. We will use this pre-trained model and re-train it it to classify houses with or without swimming pools.


tensorflow-retrain-sample - A sample for tensorflow retraining

  •    Python

This is an example on how to use pre-existing TensorFlow models to retrain on your data. In this example, we use Inception which is an image classifier. You can train it on the existing images of different noodles type and then use images in the test directory to get the predictions.