Lecture 14 - Autoencoders on the MNIST dataset

Did you remember to make the first column something unique in your call to get_records? Duplicate value '1' found in column 'activated'.
  • line 1291 of /lib/dml/mysqli_native_moodle_database.php: call to debugging()
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Error: mdb->get_record() found more than one record!
  • line 1691 of /lib/dml/moodle_database.php: call to debugging()
  • line 1651 of /lib/dml/moodle_database.php: call to moodle_database->get_record_sql()
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  • line 125 of /lib/classes/external/exporter.php: call to mod_forum\local\exporters\post->get_other_values()
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  • line 189 of /mod/forum/classes/local/builders/exported_posts.php: call to core\external\exporter->export()
  • line 95 of /mod/forum/classes/local/renderers/posts.php: call to mod_forum\local\builders\exported_posts->build()
  • line 212 of /mod/forum/classes/local/renderers/discussion.php: call to mod_forum\local\renderers\posts->render()
  • line 343 of /mod/forum/discuss.php: call to mod_forum\local\renderers\discussion->render()

Lecture 14 - Autoencoders on the MNIST dataset

di NIKOLA BULAT -
Numero di risposte: 0

In the link below, I present the usage of Autoencoders on MNIST dataset.

I have experimented with different number of epochs during training. Increasing the number of epochs can lead to smaller validation loss, which in turn leads to better reconstruction of digits, as shown in the example. Of course, at some point, increasing the number of epochs doesn't lead to notable improvements as the validation loss gets stable across new training epochs.

https://colab.research.google.com/drive/1SGgOgsK1H1TN5Mxvoq7Fb1G_mUxgNi_0?usp=sharing