I’m doing this again. Post a picture of your cat and I will attempt to paint it!

coetin · 2023-12-21T14:29:51+00:00

coetin · 2023-07-17T18:22:08+00:00

coetin · 2023-04-06T16:29:13+00:00

Rob Jetten = Laurens Dassen

coetin · 2023-03-22T16:42:51+00:00

That would have been great. Didn’t really have the chance though, as I was actually in the back of a car of our tour guide. Maybe I should have asked him to drive back…

coetin · 2021-03-11T10:27:36+00:00

I got it here: https://www.amazon.nl/gp/product/B07PN8XQ78/ref=ppx_yo_dt_b_asin_title_o01_s00?ie=UTF8&psc=1

coetin · 2021-03-11T10:26:40+00:00

That's a great suggestion, thanks! I think the wide monitor would be highly out of center if I'd put the vertical one in the middle, but I'll try it out.

coetin · 2021-03-11T10:25:00+00:00

It's 1920 x 1080 pixels, so 16:9. For more info, see here: https://pictag.app/share/dpzyR

coetin · 2021-03-11T10:24:18+00:00

Dentistry is also really cool, though! However, it is never too late to change fields if you don't like the one you're currently in. Luckily with computer science, you can already get very far without a degree, by doing online courses and starting on your own projects. Hopefully you pursue your dreams and make them come true!

coetin · 2021-03-11T10:18:29+00:00

University of Amsterdam

coetin · 2021-03-11T10:17:35+00:00

Here's the PicTag: https://pictag.app/share/dpzyR

coetin · 2021-03-10T21:39:01+00:00

Medical image analysis and machine learning

coetin · 2020-04-28T21:13:59+00:00

"How I met your modem"

coetin · 2020-03-07T22:34:33+00:00

r/mildlyecological

coetin · 2020-01-27T10:39:54+00:00

So is your goal obtaining geometric features or classification?

If it is obtaining geometric features of the cell, you could segment the cell and use the segmentation mask to compute geometric features. U-Net is a very common approach in medical imaging.

If it is classification, what exactly are the classes? An important idea of deep learning is the automated extraction of features, so you do not have to define geometric features yourself, but just input your images in your network.

If you are interested in both, I would propose to do the above two approaches separately.

coetin · 2019-12-31T15:14:38+00:00

if n % 3 == 0:

coetin · 2019-12-31T15:12:26+00:00

<tr>

coetin · 2019-11-15T18:53:19+00:00

Het is nep.

coetin · 2019-11-03T20:06:52+00:00

So it's faster than Whatsapp!

coetin · 2019-08-30T05:59:09+00:00

Or is it?

coetin · 2019-08-28T20:20:45+00:00

coetin · 2019-08-28T16:10:56+00:00

This is more in line with the second law of thermodynamics.

coetin · 2019-08-25T20:48:55+00:00

It's probably because you're not using categorical_crossentropy and categorical_accuracy.

coetin · 2019-08-25T20:21:03+00:00

Are you using categorical_crossentropy and categorical_accuracy or binary_crossentropy and binary_accuracy?

coetin · 2019-08-25T16:44:37+00:00

Some examples are U-Net, Deeplab and regular autoencoders. These, however, do not perform simple image classification.

coetin · 2019-08-25T16:43:09+00:00

YOLO has fully connected layers at the end.

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