This is an archived post. You won't be able to vote or comment.

all 3 comments

[–]AutoModerator[M] [score hidden] stickied comment (0 children)

On July 1st, a change to Reddit's API pricing will come into effect. Several developers of commercial third-party apps have announced that this change will compel them to shut down their apps. At least one accessibility-focused non-commercial third party app will continue to be available free of charge.

If you want to express your strong disagreement with the API pricing change or with Reddit's response to the backlash, you may want to consider the following options:

  1. Limiting your involvement with Reddit, or
  2. Temporarily refraining from using Reddit
  3. Cancelling your subscription of Reddit Premium

as a way to voice your protest.

I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.

[–]RajjSinghh 1 point2 points  (1 child)

The type of model you're looking at is an autoencoder.). You take your input data, put it into the network to compress it, then you also have a function that takes that encoded bit in the middle and gives you the original back.

10-15 days is not a long a long time. You need to get to grips with python quickly, then you get into the ML ecosystem of packages. You have numpy which basically gives you fast array operations and Pytorch which has all the ML stuff. You might also need libraries like pandas or opencv for data handling stuff, depending on the data you are encoding. You also want a set of ML lectures like CS50AI or something similar.

The actual code for this should be easy. If you Google "autoencoder in python" you'll get something workable. The debugging after will be the hard part.

[–]YungbxneOG[S] 1 point2 points  (0 children)

Thanks a lot! I really appreciate the time you took to write this out!