python-tensorflowHow do I use a Python TensorFlow Keras model to make predictions?

Using a Python TensorFlow Keras model to make predictions involves the following steps:

1. Load the model:

from keras.models import load_model
model = load_model('model.h5')

2. Prepare the input data:

import numpy as np
x_test = np.array([[1,2,3]])

3. Make predictions:

prediction = model.predict(x_test)
print(prediction)
# [[0.1, 0.2, 0.7]]

The model will output an array of probabilities, representing the likelihood of each possible outcome.

For more information, please refer to the Keras documentation and the TensorFlow documentation.

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