Thanks for your response. Yes, I have used the Keras training monitor UI. However the Keras integration does not have the equivalent of the DL4J Feedforward Predictor, which makes prediction harder to model with Keras. It would be nice to have as close to equivalent functionality to compare performance, etc.
While on the topic of Keras, any plans to allow configuration of PlaidML as the backend for Keras? Unlike TensorFlow, PlaidML can use OpenCL and Apple Metal for integration with non-NVIDIA GPUs. (PlaidML is a bit unstable however, but hopefully that will improve over time). I run PlaidML with Keras in a Python environment and it is about 50 times as fast with Metal and Radeon GPU than TensorFlow on my Mac’s CPU.
Thanks,
Jeff