What are TensorFlow’s APIs for handling image and text data?
The question is about Tensorflow
Specialized APIs in TensorFlow for processing image and text data ensure efficient processing for a wide class of machine learning tasks. The ‘tf.image’ module resizes, crops, flips, and colors images. It effectively augments your data and makes preprocessing much easier. The ‘tf.keras.preprocessing.image’ module contains tools that you can use to load, convert, and augment images for training a model. Text data can be tokenized, vectorized, and prepared in numerical format using APIs in tensorflow such as: ‘tf.keras.preprocessing.text’, ‘tf.data.TextLineDataset’. An added library to TensorFlow ‘TensorFlow Text’ does more sophisticated text processing with a lot of tokenization and normalization functionality; hence, it will be good for natural language processing applications. These will streamline the pre-processing of image and text data respectively and make TensorFlow the ideal choice for a wide range of applications.
