Is Keras easier to use than TensorFlow for neural network development?

Keras is considered easier to use than TensorFlow for developing neural networks. It provides a clean, high-level interface that removes the complexity of low-level model configuration. This makes building, training, and testing models faster and less error-prone than working directly with TensorFlow, offering a streamlined path for rapid iteration.