Keras developers can now create neural networks with just ten lines of code, thanks to the enhancements in TensorFlow 2.0, which optimizes performance under the hood. The introduction of TF function allows any Python function to be wrapped as a core TensorFlow operation, simplifying complex computations. Additionally, Autograph transforms regular Python code into TensorFlow graph code, making it easier to work with dynamic computations.
