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Fixed xnor for random=1

AlexeyAB

2018-05-19 c1bb8c129d7d4d8fc85348d5e7ac5441fa36ead5

2016-02-08

binary reading weights

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2016-01-31

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2016-01-28

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2016-01-18

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2015-12-14

shortcut layers, msr networks

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2015-11-14

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2015-11-09

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2015-11-04

CVPR Experiments

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2015-10-09

lots of comparator stuff

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2015-09-28

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2015-09-22

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2015-09-16

yolo working w/ regions

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2015-09-09

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2015-09-05

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2015-09-01

Some bug fixes, random stuff

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2015-08-25

changing data loading

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2015-08-02

Headers are important

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2015-07-20

Better partial function

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2015-07-20

changes to detection

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2015-07-14

nochange option in crop

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2015-07-13

add avgpool layer

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2015-07-10

small parser change

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2015-07-09

normalization layer

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2015-07-08

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2015-06-11

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2015-06-10

Better load messaging

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2015-06-10

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2015-05-11

route handles input images well....ish

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2015-05-08

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2015-04-20

It's time, to du-du-du-du-DU-DU-DUEL!! https://www.youtube.com/watch?v=IVmt...

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2015-04-17

per image randomness in crop layer

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2015-04-13

probably stuff changed

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2015-03-24

stuff changed probably

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2015-03-22

Subdivisions for batches

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2015-03-21

gonna change im2col

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2015-03-12

refactoring and added DARK ZONE

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2015-03-08

renamed sigmoid to logistic

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2015-03-08

detection layer fixed

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2015-03-04

Big changes to detection

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2015-02-24

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2015-02-11

Detection is back, baby\!

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2015-02-07

saving weight files as binaries, hell yeah

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2015-01-23

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2015-01-13

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2014-12-28

Need to fix line reads

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2014-12-18

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2014-11-28

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2014-10-25

Fast, needs to be faster

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2014-10-13

Convolutional working on GPU

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2014-08-11

Nist NIN testing multi-crop

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