You plan to use Azure Machine Learning's Hyperdrive to find the optimal hyperparameters for model training. The hyperparameters and their value ranges to be tested are:

• learning_rate: any value between 0.001 and 0.1
• batch_size: 16, 32, or 64

You need to configure the search space for the Hyperdrive experiment.

Which two parameter expressions should you use? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

Answer Options:

choice(lr = normal(0.001, 0.1))
choice(batch_size = [16, 32, 64])
uniform(lr, 0.001, 0.1)
choice(lr = uniform(0.001, 0.1))
choice(batch_size = choice(16, 32, 64))

choice(lr = normal(0.001, 0.1))
choice(batch_size = [16, 32, 64])
uniform(lr, 0.001, 0.1)
choice(lr = uniform(0.001, 0.1))
choice(batch_size = choice(16, 32, 64))