[Snyk] Security upgrade tensorflow/tensorflow from 2.13.0rc0-gpu-jupyter to 2.17.0-gpu-jupyter

[KasperSkytte]

Snyk has created this PR to fix 4 vulnerabilities in the dockerfile dependencies of this project.

Keeping your Docker base image up-to-date means you’ll benefit from security fixes in the latest version of your chosen image.

Snyk changed the following file(s):

• Dockerfile

We recommend upgrading to tensorflow/tensorflow:2.17.0-gpu-jupyter, as this image has only 86 known vulnerabilities. To do this, merge this pull request, then verify your application still works as expected.

Vulnerabilities that will be fixed with an upgrade:

	Issue	Score
	CVE-2023-44487 SNYK-UBUNTU2004-NGHTTP2-5954795	844
	Improper Validation of Integrity Check Value SNYK-UBUNTU2004-LIBSSH-6130560	621
	Access of Resource Using Incompatible Type ('Type Confusion') SNYK-UBUNTU2004-OPENSSL-3314788	614
	Access of Resource Using Incompatible Type ('Type Confusion') SNYK-UBUNTU2004-OPENSSL-3314788	614
	Out-of-bounds Read SNYK-UBUNTU2004-CURL-7575742	586

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Learn how to fix vulnerabilities with free interactive lessons:

🦉 Access of Resource Using Incompatible Type ('Type Confusion')

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