How do we train a TensorFlow estimator after converting a Keras model?
To train a TensorFlow estimator after converting a Keras model, we need to follow a series of steps. First, we need to convert the Keras model into a TensorFlow estimator. This can be done using the `tf.keras.estimator.model_to_estimator` function. The `model_to_estimator` function takes a Keras model as input and returns a TensorFlow estimator that can be
What is the function used to convert a Keras model to a TensorFlow estimator?
To convert a Keras model to a TensorFlow estimator, the function tf.keras.estimator.model_to_estimator() is used. This function provides a seamless integration between Keras and TensorFlow Estimators, allowing for the benefits of both frameworks to be leveraged in machine learning applications. The tf.keras.estimator.model_to_estimator() function takes a Keras model as input and returns a TensorFlow Estimator object. This