Slower Execution in Some Cases

  • Overhead from Abstraction: The simplicity of Keras comes with a performance trade-off. Since it adds a layer of abstraction over backends like TensorFlow, there can be additional overhead, making Keras slower in certain use cases, particularly for very large-scale models or when extreme optimization is needed.

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *