The Only TensorFlow Preprocessing Guide You Need

This article walks through practical TensorFlow preprocessing techniques using Keras layers. It covers image data augmentation, normalization of numerical features, one-hot encoding for string and integer categories, the hashing trick for high-cardinality features, and text preprocessing with TextVectorization for embeddings, N-grams, and TF-IDF. Each example includes short code recipes you can adapt directly to your own training pipelines, helping you streamline model preparation and improve performance.