How can I use a Keras model for predictions?

How can I use a Keras model for predictions?

To use a Keras model for predictions, you first need to load your trained model using load_model(). Then, prepare your input data in the same format as the training data.

What format should my input data be in?

Your input data should be a NumPy array or a tensor with the same shape as the input shape of the model. Make sure to preprocess it similarly to how you did during training.

Can you show me a code example?

Sure! Here's a simple example:

from keras.models import load_model
import numpy as np

# Load the model
model = load_model('my_model.h5')

# Prepare input data
input_data = np.array([[...], [...], ...])  # Replace with your data

# Make predictions
predictions = model.predict(input_data)
print(predictions)