How do GPU and CPU performance compare in TensorFlow?

How do GPU and CPU performance compare in TensorFlow?

GPUs are generally faster than CPUs for TensorFlow tasks, especially for large-scale data and complex models.

What specific tasks benefit more from using a GPU?

Tasks like training deep learning models, especially convolutional neural networks, benefit significantly from GPU acceleration.

Are there any downsides to using a GPU?

Yes, GPUs can be more expensive, consume more power, and may require more complex setup compared to CPUs.

How can I check if TensorFlow is using my GPU?

You can check by running tf.config.list_physical_devices('GPU') in your TensorFlow code.