Use TensorFlow Data Validation to detect and flag schema anomalies.

Use TensorFlow Transform to create a preprocessing component that will normalize data to the expected distribution, and replace values that don’t match the schema with 0.

Use tf.math to analyze the data, compute summary statistics, and flag statistical anomalies.

Use custom TensorFlow functions at the start of your model training to detect and flag known formatting errors.