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Fix a broken link

Fix a broken link

The current android Dockerfile for object detectiion is not functional anymore. This commit fixes it by the following changes:
 - install gpg-agent, update google-cloud-sdk installation from https://cloud.google.com/sdk/docs/quickstart-debian-ubuntu
 - use non-interactive front end to set default tzdata configuration (required for TF object detection installation)
 - fix the tensorflow configuration

Leaving the base image untouched, although nightly-devel is no longer actively maintained. It may be worth upgrading as a separate effort later.

* fix TF_OD_API_LABELS_FILE name problem

* Fix variable TF_OD_API_LABELS_FILE in documention

Small spelling fix: Common -> Commons

Updated website addresses for MS COCO and Open Images.

Co-authored-by: Tobias Morville <tmo@Tobiass-MacBook-Pro.local>

It might seem redundant, but I followed this whole tutorial not knowing what <path-to-tensorflow> meant, and tried to install into the actual "tensorflow" package inside of my python installation.

The URL of the script for downloading and converting ImageNet data to TFRecord format has changed. I update the URL.

* Update directory path 

- Update directory path with Tensorflow directoy folder: tensorflow/models/research/
- Add option to refresh source ~/.bashrc

* Update installation.md

Updated owners

Add axis=1 for to reconstruction error calculation. This will avoid taking the sum of cost so that the training objective will no longer be  batch-size dependent.

Fixes #2243

Updated owner

No Maintenance Intended

No Maintenance Intended

No Maintenance Intended

No Maintenance Intended

No Maintenance Intended

No Maintenance Intended

Added "No maintenance intended"

Added TensorFlow requirement badges

Added TensorFlow requirement badges

Added TensorFlow requirement badges

* Fix maintainers list into a table for easy read.

* Taken duplicate name out of the maintainers table.

Fixed bug

Plus minor formatting proposals

typo fixed

* Guard the unsafe tf.exp to prevent Inf cost

* Update run_lfads.py

Add the hyperparameter `_clip_value` to resolve the issue in the prototype example