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Back at Cine‑X, butt‑naked Darius Ferdynand gets filled from both ends by impeccably dressed Flex and sleazy daddy Antonio Miracle. Cine-X: Four Cumshots (2016)
19,283 просмотров • 6 дней назад •via X (Twitter)
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NEW: Alabama mother tortured and forced to perform s*x acts on four men and four women before being executed by a gunshot wound to the head. Death penalty: All of them. Mahogany Jackson was shot in the back of the head at a Birmingham apartment. Jackson was handcuffed, stripped, beaten and forced to perform s*x acts at gunpoint before being executed. At 8am on February 25, Jackson texted family members that she was being held hostage. She was killed soon after and her body was later dumped at an illegal dump site called "Dead Man's Road." Video footage shows Jackson being stomped on and spit on before getting dragged by her hair, naked toward a car's trunk. She was then tortured which was filmed by the thugs. Jackson was forced to perform oral s*x. Giovonnie Clapp, Blair Green, Teja Lewis, Sinya McCall and Airana Robinson were charged with felony murder, first-degree kidnapping and first-degree sodomy.
Collin Rugg
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![Discrete Fourier Transform by hand ✍️ ~ 12 steps walkthrough below Here is a little-known secret about the DFT and the inverse DFT: it is just matrix multiplication in both directions, one the transpose of the other, exactly like the forward pass and backpropagation I drew in other examples. Goal: recover which cosine waves a signal is made of, using nothing but multiplication and addition. = 1. Given = Three signals written as sums of cosines, and a fourth, X, that we do not know yet. = 2. Frequency matrix F = Let us write the coefficients as a matrix. Each signal is a row, each frequency a column, so A = cos(w) + 2cos(2w) becomes [1, 2, 0, 0]. = 3. Sample the waves = We read the four cosine waves at ten discrete time points. That word "discrete" is the whole difference between this and the continuous transform. = 4. Cosine matrix W = Let us write those samples as a matrix: each frequency a row, each time point a column. = 5. Frequency to time = We multiply F by W. That combines the four cosine waves in the proportions F specifies, and the result T is the three signals as they would look in time. = 6. Transpose = Let us stand each signal up as a column. = 7. Time to frequency = We multiply W by that transpose. Every cell is the dot product of one signal with one cosine wave, which measures how much of that wave the signal contains. Zero means none of it. = 8. Scale = Let us multiply by 2/n, with n = 10. The projections come out five times too large, and this is the correction. = 9. Transpose back = We turn it back around, and it is F again, exactly. That is the check: the transform recovered the coefficients we started from. = 10. Now solve for X = Let us run the same multiplication on the one signal whose recipe we never knew. = 11. Scale = We divide by 5 again. = 12. Transpose back = And X reads [0, 0, 3, 2], which says X = 3cos(3w) + 2cos(4w). Note: I originally drew this to show that the DFT is a special case of a convolution layer, its filters fixed to sine and cosine waves rather than learned. No wonder, then, that a convolution layer free to learn its own filters can be trained to process signals. 💾 Save this post!](https://image.24vids.com/tw-2083194764485153128/ext_tw_video_thumb/2083194751193403393/pu/img/xPTCxxe0pHHx3B7I.jpg)
