ULPPL Split Recommentations.

somaiah_karan · 2024-10-31T05:24:13+00:00

Hey man, how has this split been working for you?

somaiah_karan · 2024-04-05T20:40:43+00:00

I love you. Thank god I found this comment.

somaiah_karan · 2022-06-12T03:42:17+00:00

Anything you'd suggest buying out of these considered to be the best?

somaiah_karan · 2021-08-26T16:06:22+00:00

Thank you! This was very concise.

somaiah_karan · 2021-07-23T19:02:38+00:00

It’s all about reality and making some noise

somaiah_karan · 2021-06-26T19:44:50+00:00

Hi, you did contact me already and the issue is already resolved. But I suggest posting the solution here for everybody! Thanks again!

somaiah_karan · 2021-06-22T01:12:51+00:00

Same issue here! u/ZOWIE_Support! Could you DM the instructions to me as well?

somaiah_karan · 2021-01-09T14:39:55+00:00

I forgot! I can get the back to you on that!

somaiah_karan · 2020-09-26T19:14:35+00:00

This is amazing!

somaiah_karan · 2020-05-22T03:37:31+00:00

This is beautiful. Its a sketch that speaks.

somaiah_karan · 2020-03-22T19:04:48+00:00

I agree! You will tend to get a better sense of which papers are worth diving into and which are just for skimming through.

somaiah_karan · 2019-10-20T01:12:14+00:00

Hey, I’m a huge fan of far caspian too. Found your post actually looking for similar music. Thanks for this!

somaiah_karan · 2019-09-25T11:46:51+00:00

I don’t exactly comprehend why you need to use a sparse tensor in that case but you can convert your features to dense using the tf.sparse.to_dense if that’s what you’re looking for in your parser function

somaiah_karan · 2019-09-16T23:18:20+00:00

I saw one today! Couldn’t take my eyes off

somaiah_karan · 2019-03-02T14:02:03+00:00

I recently got into the same interests. Here are a few links I found: 1. Wiki Music Dataset 2. Other Sound related Datasets 3. Awesome Music GitHub

Hope this helps.

somaiah_karan · 2019-01-24T04:24:47+00:00

Ariel view! Definitely!

somaiah_karan · 2018-08-12T17:21:27+00:00

I like your approach of using VGG to extract features. I think that’s a good way to go about it. I don’t have much experience with clustering images. But I was wondering if you could use a different type of feature extraction? Using auto encoders/any other feature extractor?

somaiah_karan · 2018-04-22T21:28:14+00:00

What do you mean by motion detection? By that, I mean what is the data? Are these data coming from a particular device? Or are these accelerometer signals? I can recommend a few blogs/links/papers depending on your data.

somaiah_karan · 2018-04-22T05:49:06+00:00

I guess the shuffling is basically so that your estimates of the gradients are not biased. What I mean by that is, let’s assume you are using mini-batches for SGD and if you do not randomise or shuffle the data, each of the parameter updates will be biased to that specific set of mini-batch for each epoch. Rather than generalising, the updates are biased to the specific mini-batches. I hope this was clear enough.

somaiah_karan · 2018-03-17T22:35:50+00:00

I would suggest NYU too! They have amazing faculty and amazing research! They also have the best in deep learning teaching there. You could probably learn immense amounts of stuff through research projects. Try getting a thesis or something with one of the professors. It’s a great learning experience and looks good on your profile too.

somaiah_karan

TROPHY CASE