hey liberals
 

I liked this more: https://gfy.com/fucking-around-and-pr...diots-plz.html

Alternative thread title: hey, plague of society.

The embedded videos do not play for kkkkkk :2 cents:

I'll bump this

Our society was working when we valued intelligence. We stopped doing that, it ceased to work. Literally exactly what happened. Labels are dumb like ideology is dangerous. :) Maybe I now go turn on Adobe Flash Animate CC 2015 and spin the Z axis around. k

Riveting level: 9

Reading data.
Creating network.
Input layer : 8 neurons, 1 bias
Output layer : 1 neurons
Total neurons and biases : 10
Total connections : 9
Connection rate : 1.000
Network type : FANN_NETTYPE_SHORTCUT
Training algorithm : FANN_TRAIN_RPROP
Training error function : FANN_ERRORFUNC_LINEAR
Training stop function : FANN_STOPFUNC_BIT
Bit fail limit : 0.900
Learning rate : 0.700
Learning momentum : 0.000
Quickprop decay : -0.000100
Quickprop mu : 1.750
RPROP increase factor : 1.200
RPROP decrease factor : 0.500
RPROP delta min : 0.000
RPROP delta max : 50.000
Cascade output change fraction : 0.010000
Cascade candidate change fraction : 0.010000
Cascade output stagnation epochs : 12
Cascade candidate stagnation epochs : 12
Cascade max output epochs : 150
Cascade min output epochs : 50
Cascade max candidate epochs : 150
Cascade min candidate epochs : 50
Cascade weight multiplier : 0.400
Cascade candidate limit :1000.000
Cascade activation functions[0] : FANN_SIGMOID_SYMMETRIC
Cascade activation steepnesses[0] : 1.000
Cascade candidate groups : 8
Cascade no. of candidates : 8
Training network.
Max neurons 30. Desired error: 0.000000
Neurons 0. Current error: 1.000001. Total error:256.0002. Epochs 51. Bit fail 256
Neurons 1. Current error: 0.789612. Total error:202.1405. Epochs 153. Bit fail 121. candidate steepness 1.00. function FANN_SIGMOID_SYMMETRIC
Neurons 2. Current error: 0.276934. Total error: 70.8952. Epochs 274. Bit fail 45. candidate steepness 1.00. function FANN_SIGMOID_SYMMETRIC
Neurons 3. Current error: 0.051575. Total error: 13.2032. Epochs 556. Bit fail 10. candidate steepness 1.00. function FANN_SIGMOID_SYMMETRIC
Neurons 4. Current error: 0.026673. Total error: 6.8284. Epochs 789. Bit fail 1. candidate steepness 1.00. function FANN_SIGMOID_SYMMETRIC
Neurons 5. Current error: 0.004277. Total error: 1.0949. Epochs 886. Bit fail 0. candidate steepness 1.00. function FANN_SIGMOID_SYMMETRIC
Train outputs Current error: 0.005600. Epochs 887
Layer / Neuron 01234567890123
L 1 / N 9 CCCCCCCCc.....
L 2 / N 10 CCCCCCCCcd....
L 3 / N 11 CCCCCCCCcec...
L 4 / N 12 bbbbbbbbBCBB..
L 5 / N 13 BBBBBBBBbcbbB.
L 6 / N 14 aaaaaaaaACbDCF

Train error: 0.048417, Train bit-fail: 0, Test error: 0.048416, Test bit-fail: 0

Saving network.
Cleaning up.

level: outerspace

:1orglaugh:1orglaugh:1orglaugh:1orglaugh:1orglaugh :1orglaugh:1orglaugh:1orglaugh:1orglaugh:1orglaugh :1orglaugh:1orglaugh:1orglaugh

kkkkkk You my friend just got "served."

http://i.imgur.com/cod1r1V.gif

Gun background checks: February is third-biggest month ever
Gun background checks: February is third-biggest month ever - Mar. 2, 2016

February was the third-biggest month on record for gun background checks, according to data released Wednesday by the FBI.
Background checks, which the FBI conducts every time someone tries to buy a gun from a federally licensed dealer, rose to 2.6 million in February, according to the bureau.
February's total falls short of the record set in December, 2015, when 3.3 million background checks were recorded.

fucked up if true

Really sad :(