QuantumVM Charlotte
import tensorflow as tf import lewis.py as lewis
def create_neural_network(): """Creates a simple neural network.""" model = tf.keras.Sequential([ tf.keras.layers.Flatten(input_shape=(28, 28)), tf.keras.layers.Dense(128, activation='relu'), tf.keras.layers.Dense(10, activation='softmax') ]) return model
def train_neural_network(model, data, labels): """Trains the neural network.""" model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy']) model.fit(data, labels, epochs=10)
def deploy_neural_network(model): """Deploys the neural network to iOS and Android.""" lewis.deploy(model, 'ios', 'android')
def lewis_neural_network(): """Creates and deploys a neural network using Lewis.py.""" model = create_neural_network() train_neural_network(model, data, labels) deploy_neural_network(model)
def charlotte(): """Creates a quantum VM called Charlotte.""" # TODO: Implement this function.
if name == 'main': # Run the lewis_neural_network() function. lewis_neural_network()
# Run the charlotte() function.
charlotte()