Artificial Intelligence, Data Science, Machine Learning, Technology, Programming.
model = tf.keras.Sequential([ tf.keras.layers.Dense(64, activation='relu', input_shape=(5,)), # Input layer with 5 features tf.keras.layers.Dense(64, activation='relu'), # Hidden layer tf.keras.layers.Dense(4, activation='sigmoid') # Output layer with 4 nodes and sigmoid activation for multilabel