Random Prediction Generation with Keras Model

This function takes an input tensor and a pre-trained Keras model as parameters, and then returns a random prediction from the model. The function first generates a random tensor with the same shape as the input tensor, and then uses the model to predict on this random tensor.

Technology Stack : Keras, NumPy

Code Type : The type of code

Code Difficulty : Intermediate

                
                    
def random_predict(input_tensor, model):
    """
    This function takes an input tensor and a pre-trained Keras model, then returns a random prediction from the model.
    """
    import numpy as np
    from keras.models import Sequential
    from keras.layers import Dense, Activation

    # Generate a random input tensor
    random_input = np.random.random_sample(input_tensor.shape)

    # Predict using the model
    prediction = model.predict(random_input)

    return prediction