Hello, I am a self-taught tensorflow teacher at Python.The content is deep learning for image recognition.
In the process, I would like to use tensorboard. When visualizing the learning process in tensorflow in a graph, I asked if not only accuracy and error for training data but also accuracy and error for testing data could be reflected in the graph.
I'm afraid I'm not very knowledgeable, but I'd appreciate it if you could give me an answer.
train /
validation /
Is it like log data is in each directory?
./logs/
├ train/
└ validation/
In this configuration,
tensorboard --logdir=./logs
If you type in , you will draw two graphs at the same time.
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