From a190eddea4d9b6a3888ecd721f9659265e4803c9 Mon Sep 17 00:00:00 2001 From: Tian Lin Date: Mon, 2 Mar 2020 11:19:20 -0800 Subject: [PATCH] Change the name to model maker. PiperOrigin-RevId: 298399535 Change-Id: I47d4c6be1a4eabdad72dd9e4cc0ce67adb2a7b51 --- tensorflow/lite/g3doc/models/image_classification/overview.md | 4 ++-- tensorflow/lite/g3doc/models/text_classification/overview.md | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/tensorflow/lite/g3doc/models/image_classification/overview.md b/tensorflow/lite/g3doc/models/image_classification/overview.md index 40ebbba052e..9bb4493cfe6 100644 --- a/tensorflow/lite/g3doc/models/image_classification/overview.md +++ b/tensorflow/lite/g3doc/models/image_classification/overview.md @@ -328,5 +328,5 @@ images for each of the new labels you wish to train. Learn how to perform transfer learning in the Recognize -flowers with TensorFlow codelab, or with the [model customization toolkit] -(https://github.com/tensorflow/examples/tree/master/tensorflow_examples/lite/model_customization/demo/image_classification.ipynb). +flowers with TensorFlow codelab, or with the +[model maker toolkit](https://github.com/tensorflow/examples/tree/master/tensorflow_examples/lite/model_maker/demo/image_classification.ipynb). diff --git a/tensorflow/lite/g3doc/models/text_classification/overview.md b/tensorflow/lite/g3doc/models/text_classification/overview.md index 94960113d94..446d4625013 100644 --- a/tensorflow/lite/g3doc/models/text_classification/overview.md +++ b/tensorflow/lite/g3doc/models/text_classification/overview.md @@ -93,7 +93,7 @@ Performance benchmark numbers are generated with the tool ## Use your training dataset Follow this -[tutorial](https://github.com/tensorflow/examples/tree/master/tensorflow_examples/lite/model_customization/demo/text_classification.ipynb) +[tutorial](https://github.com/tensorflow/examples/tree/master/tensorflow_examples/lite/model_maker/demo/text_classification.ipynb) to apply the same technique used here to train a text classification model using your own datasets. With the right dataset, you can create a model for use cases such as document categorization or toxic comments detection.