From 1799941f591367749becffa60d250c55b1294b4f Mon Sep 17 00:00:00 2001 From: "A. Unique TensorFlower" Date: Fri, 25 Oct 2019 21:30:21 -0700 Subject: [PATCH] Polish codes for model customization. PiperOrigin-RevId: 276815842 Change-Id: I8fc60dab3e04910b7adf8ed0119a664a1171c58a --- tensorflow/lite/g3doc/models/text_classification/overview.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tensorflow/lite/g3doc/models/text_classification/overview.md b/tensorflow/lite/g3doc/models/text_classification/overview.md index e6a95006702..5e2ae10adfe 100644 --- a/tensorflow/lite/g3doc/models/text_classification/overview.md +++ b/tensorflow/lite/g3doc/models/text_classification/overview.md @@ -55,7 +55,7 @@ Here are the steps to classify a paragraph with the model: ## Use your training dataset Follow this -[tutorial](https://github.com/tensorflow/examples/tree/master/lite/examples/model_customization/demo/image_classification.ipynb) +[tutorial](https://github.com/tensorflow/examples/tree/master/tensorflow_examples/lite/model_customization/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.