Author: Murat Karakaya & Cansen Çağlayan
Date created: 05 Oct 2021
Last modified: 19 Oct 2021
Description: This tutorial has 2 parts as explained below. Part A: Data Analysis & Text Preprocessing and Part B: Text Classification.
Author: Murat Karakaya
Date created: 05 Oct 2021
Last modified: 18 March 2023
Description: This is a tutorial about how to build, adapt, use, save, load, and deploy the Keras TextVectorization layer. You can access this tutorial on YouTube in English and Turkish. “TensorFlow Keras Text Vectorization Katmanı” / “TensorFlow Keras Text Vectorization Layer”.
In this tutorial, we will download a Kaggle Dataset in which there are 32 topics and more than 400K total reviews. We will use this dataset for a multi-class text classification task.
Our main aim is to learn how to effectively use the Keras TextVectorization layer in Text Processing and Text Classification.
The tutorial has 5 parts:
At the end of this tutorial, we will cover:
TextVectorization layer isTextVectorization layer in Natural Language Processing (NLP) tasksTextVectorization layer in Text PreprocessingTextVectorization layer to a trained modelTextVectorization layer and a model with a Keras TextVectorization layerTextVectorization layer with TensorFlow Data Pipeline API (tf.data)TextVectorization layerTextVectorization layer implemented with a custom standardize (custom_standardization) function using the Gradio library and the HuggingFace SpacesAccessible on:
