Skip to main content

Timeline for autoencoder for features selection

Current License: CC BY-SA 4.0

9 events
when toggle format what by license comment
Jun 21, 2018 at 2:19 comment added JahKnows @user, can you visualize the data in some way as a sanity to check to ensure that the input is similar to the output?
Jun 21, 2018 at 2:13 comment added fattoun @ JahKnows please look to the figure which I appended to the question, If you can tell me where is the error
Jun 21, 2018 at 1:49 comment added JahKnows @user, input_shape is just the shape of the $z$ vector. You will pass the actual values through the .fit() method when training the classifier.
Jun 20, 2018 at 13:16 comment added fattoun thankyou @JahKnows. this is helpful. So the imput vector z which I will use in the classifier where are you save it. is it " imput_shape"?
Jun 20, 2018 at 3:18 history edited JahKnows CC BY-SA 4.0
added 8501 characters in body
Jun 20, 2018 at 2:54 comment added JahKnows @user, I don't really understand your question. But I will append some code of an autoencoder to the answer.
Jun 19, 2018 at 10:15 comment added Aditya Being a beginner (me too) and jumping in here and there into Advanced Topics is insane...
Jun 19, 2018 at 4:35 comment added fattoun thank you. should I add the class column again to the dataset since I will use a supervised classifier ? if so how to do it since the data was changed? can you please give me an exemple of code to do it? forgive me for my questions which are may be silly but Im a beginner.
Jun 19, 2018 at 0:11 history answered JahKnows CC BY-SA 4.0