fix: update broken tensorflow & certbot links (#9846)

(cherry picked from commit 73a756a)

docs/manage/security/tls.rst

@@ -106,7 +106,7 @@ The following websites provide more information about installing snapd and Certb
 -  `Installing snap on Red Hat Enterprise Linux (RHEL)
    <https://snapcraft.io/docs/installing-snap-on-red-hat>`_
 -  `Installing snap on CentOS <https://snapcraft.io/docs/installing-snap-on-centos>`_
--  `certbot instructions <https://certbot.eff.org/instructions?ws=other&os=centosrhel8>`_
+-  `certbot instructions <https://certbot.eff.org/instructions?ws=other&os=snap>`_
 
 Adding EPEL to RHEL 8
 ---------------------
@@ -335,5 +335,5 @@ the following command:
    Most Certbot installations come with automatic renewal. Visit `Setting up automated renewals
    <https://eff-certbot.readthedocs.io/en/stable/using.html#automated-renewals>`__ to find out more.
    To learn how to test automatic renewal, visit the Certbot instructions (`CentOS
-   <https://certbot.eff.org/instructions?ws=other&os=centosrhel8>`__ or `Debian/Ubuntu
-   <https://certbot.eff.org/instructions?ws=apache&os=ubuntufocal>`__).
+   <https://certbot.eff.org/instructions?ws=other&os=snap>`__ or `Debian/Ubuntu
+   <https://certbot.eff.org/instructions?ws=apache&os=snap>`__).

harness/determined/keras/_tf_keras_trial.py

@@ -1046,8 +1046,9 @@ def build_training_data_loader(self) -> keras.InputData:
             a tuple of either ``(inputs, targets)`` or ``(inputs, targets, sample_weights)``.
 
             4) A `keras.utils.Sequence
-            <https://tensorflow.org/api_docs/python/tf/keras/utils/Sequence>`__ returning a tuple
-            of either ``(inputs, targets)`` or ``(inputs, targets, sample weights)``.
+            <https://www.tensorflow.org/versions/r2.15/api_docs/python/tf/keras/utils/Sequence>`__
+            returning a tuple of either ``(inputs, targets)``
+            or ``(inputs, targets, sample weights)``.
 
         When using ``tf.data.Dataset``, you must wrap the dataset using
         :meth:`determined.keras.TFKerasTrialContext.wrap_dataset`. This wrapper is used
@@ -1081,8 +1082,9 @@ def build_validation_data_loader(self) -> keras.InputData:
             a tuple of either ``(inputs, targets)`` or ``(inputs, targets, sample_weights)``.
 
             4) A `keras.utils.Sequence
-            <https://tensorflow.org/api_docs/python/tf/keras/utils/Sequence>`__ returning a tuple
-            of either ``(inputs, targets)`` or ``(inputs, targets, sample weights)``.
+            <https://www.tensorflow.org/versions/r2.15/api_docs/python/tf/keras/utils/Sequence>`__
+            returning a tuple of either ``(inputs, targets)``
+            or ``(inputs, targets, sample weights)``.
 
         When using ``tf.data.Dataset``, you must wrap the dataset using
         :meth:`determined.keras.TFKerasTrialContext.wrap_dataset`. This wrapper is used