What is the output of the predict function in the tf.keras API?

The output of the predict function in the tf.keras API is a Numpy array of predictions. This function is designed to take input data, typically in the form of a tensor or Numpy array, and generate predictions based on the trained model. The resulting Numpy array contains the predicted values for each instance of the input data, which could represent class probabilities in a classification task or continuous values in a regression task.

When you use the predict function, it runs the input data through the entire model, including all the layers, to compute the final output. This output is in an array format that is easy to work with in Python, allowing users to easily analyze and manipulate the predictions as needed.

Using a Numpy array as the output also fosters integration with other libraries that utilize Numpy, further streamlining the workflow for machine learning engineers.