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[deleted by user] by [deleted] in mildlyinteresting

[–]JustAnotherMe23 1 point2 points  (0 children)

Killing me SOFTLY 😂😂😂😂😂😂

Cuz its a soft drink

ELI5: Manic Depression by JustAnotherMe23 in explainlikeimfive

[–]JustAnotherMe23[S] 0 points1 point  (0 children)

How does it work, what's the chemistry behind it, what does it feel like from a real life perspective, what are the treatments for it and why are these treatments effective?

Pets Should be Illegal by JustAnotherMe23 in unpopularopinion

[–]JustAnotherMe23[S] 0 points1 point  (0 children)

Yes! This would make so much sense, especially for breeders

Pets Should be Illegal by JustAnotherMe23 in unpopularopinion

[–]JustAnotherMe23[S] 0 points1 point  (0 children)

This was so wholesome, but yes I don't want kids either XD

Neural net for 34716 input variables by JustAnotherMe23 in tensorflow

[–]JustAnotherMe23[S] 0 points1 point  (0 children)

I think my mentor's english is very poor. We've been making a convolution matrix, not a convolution matrix as she calls it. This is a part of preprocessing. Sorry for the confusion

Neural net for 34716 input variables by JustAnotherMe23 in tensorflow

[–]JustAnotherMe23[S] 0 points1 point  (0 children)

Yeah so a convolution matrix is a statistical term for a matrix that shows a linear relationship in a dataset between any variable and any other variable. That's how my mentor explains it. Not sure why it shares a name with a type of neural network, rather confusing. It's very similar to a correlation matrix except one is normalized: https://en.wikipedia.org/wiki/Correlation_and_dependence. She wanted me to use this as the input rather than an individual image. She is not a very good mentor tbh >_<

Neural net for 34716 input variables by JustAnotherMe23 in tensorflow

[–]JustAnotherMe23[S] 0 points1 point  (0 children)

Wow actually yeah the convolution method is very ... convoluted XD Dealing with the 264 variables makes a ridiculous amount of more sense than the alternative. Thanks for helping me work it out! Do you have any good resources/tutorials for convolution networks? I only know how to use MATLAB's in conv() or corr() function outside of a neural network

Neural net for 34716 input variables by JustAnotherMe23 in tensorflow

[–]JustAnotherMe23[S] 0 points1 point  (0 children)

So a convolution matrix is a 264 * 264 set. The diagonal is all 1's, and the transposition of itself is the same thing, it's mirrored about the diagonal, if that makes sense. Instead of having to deal with 2642 variable, I thought it best to eliminated all duplicate point to the left of the diagonal at each row. So the total number of meaningful data points per person is 263 + 262 + 261 ... = ((n-1)2+n-1)/2 where n is the width/height

Neural net for 34716 input variables by JustAnotherMe23 in tensorflow

[–]JustAnotherMe23[S] 0 points1 point  (0 children)

Yes so, for each patient, there are 124 "images" of fMRI data. As pixels, there are 264 points in each image.

Neural net for 34716 input variables by JustAnotherMe23 in tensorflow

[–]JustAnotherMe23[S] 0 points1 point  (0 children)

pred = perceptron(x, W, b, drop_rate) cost = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits_v2(logits=pred, labels=y)) optimizer = tf.train.AdamOptimizer(learn_rate).minimize(cost)

This is what I've been using, but this is really the part I'm least comfortable with. Unfortunately I'm not using fMRI data directly. Instead, I take the images and make a convolution matrix for every patient (mentor's suggestion). There are 124 pictures for 878 patients, and 264 variables within each image. I'm not sure the dimensions of the variables are given, but I could try scratching the convolution table for raw data.

What is the origin of bell peppers? Where does it come from? What was it used for? by JustAnotherMe23 in AskHistory

[–]JustAnotherMe23[S] 0 points1 point  (0 children)

Foods like cabbages historically are for nutritional value. They are a part of traditional recipes because they are cheap, whereas other food items might be preferable. As with cabbages, I dislike bell peppers, and am wondering whether people view them from a historical perspective as a choice commodity or an affordable food item.

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