It took a long time, but it was finally resolved!
[Ready to use! Can be practiced in business! How to make AI / machine learning / deep learning apps with Python](https://www.amazon.co.jp/%E3%81%99%E3%81%90% E3% 81% AB% E4% BD% BF% E3% 81% 88% E3% 82% 8B-% E6% A5% AD% E5% 8B% 99% E3% 81% A7% E5% AE% 9F% E8 % B7% B5% E3% 81% A7% E3% 81% 8D% E3% 82% 8B-Python% E3% 81% AB% E3% 82% 88% E3% 82% 8B-AI% E3% 83% BB % E6% A9% 9F% E6% A2% B0% E5% AD% A6% E7% BF% 92% E3% 83% BB% E6% B7% B1% E5% B1% A4% E5% AD% A6% E7 % BF% 92% E3% 82% A2% E3% 83% 97% E3% 83% AA% E3% 81% AE% E3% 81% A4% E3% 81% 8F% E3% 82% 8A% E6% 96 % B9-% E3% 82% AF% E3% 82% B8% E3% 83% A9% E9% A3% 9B% E8% A1% 8C% E6% 9C% BA / dp / 4802611641) I'm studying python in this book. I stumbled upon the display of the tensorboard in Chapter 5.
Conclusion: I got the required pip package to the same version as the original sample and it worked!
・ Original environment jupyter-tensorboard 0.1.10 tensorflow 1.5.0 tensorboard 2.0.2 tensorflow-tensorboard 1.5.1
・ Sample of the head family jupyter-tensorboard 0.1.9 tensorflow 1.13.1 tensorboard 1.13.1
only this.
Head family page https://github.com/lspvic/jupyter_tensorboard
docker pull lspvic/tensorboard-notebook docker run -it --rm -p 8888:8888 lspvic/tensorboard-notebook
I was able to solve it in one shot by checking the version of the package used in the actual working environment. I should have done so soon. .. ..
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