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BSc/MSc/Diploma Thesis Project - Unsupervised Deep Learning

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BSc/MSc/Diploma Thesis Project - Unsupervised Deep Learning

Tale n t P ro gra m me 2 019
 
www.c ra ft w ork s.A I
 
 
At
cra ft w ork s,
we
build
​priz e -w in nin g
Artif ic ia l
In te llig e n ce
so lu tio ns
fo r
th e
In d ustr y .
We
use
                         
sta te -o f- t h e-a rt
Com pu te r
Vis io n,
Natu ra l
Lan gu ag e
Pro ce ssin g,
Mach in e
Le arn in g
an d
Deep
                   
Le arn in g
te ch niq ues
to
so lv e
hard
in d ustr ia l
pro b le m s
usin g
data .
Als o ,
we
do
cu ttin g-e d ge
                         
re se arc h t o p u sh t h e b ound arie s o f w hat i s p o ssib le .
​This i s w here y o u c o m e i n .
 
 
We o ffe r s tu d en ts t o w ork o n t h e f o llo w in g
​th esis t o pic
​(B ach elo r/M aste r/D ip lo m a):
 
 
Docu m en t D en ois in g w it h U nsu perv is e d D eep L e arn in g
 
 
The
dig it iz a tio n
of
docu m en ts ,
su ch
as
sc a n n in g
or
ph oto gra p h in g,
oft e n
in tr o d uce s
und esir e d
                       
artif a cts
in to
th e
im ag e .
This
mak es
th e
docu m en ts
hard er
to
re ad
fo r
hu m an s
an d
po se s
a                               
sig n if ic a n t p ro b le m t o m an y O ptic a l C hara cte r R eco gn it io n ( O CR) t o o ls .
 
 
Deta ils
 
The
go al
of
th is
th esis
is
to
use
Unsu perv is e d
Deep
Le arn in g
(D L)
ap p ro ach es
su ch
as
                             
Auto en co d ers
(A E)
an d
Gen era tiv e
Adve rs a ria l
Netw ork s
(G AN )
wit h
th e
ob je ctiv e
of
re d ucin g
                       
co m mon
nois e
in tr o d uce d
to
docu m en ts
th ro ugh
th eir
dig it iz a tio n
(e .g .
sc a n nin g).
You
will
be
                         
pro vid ed
wit h
a la rg e
(> 10,0 00
docu m en ts )
data se t
of
sc a n ned
docu m en ts
(P D F)
an d
on e
of
                           
our
exp erie n ce d
Mach in e
Le arn in g
Exp erts
as
ad vis o r.
You
are
exp ecte d
to
deve lo p
an d
                         
docu m en t d if fe re n t a p pro ach es a n d e valu ate t h e r e su lt s f o llo w in g b est p ra ctic e s.
 
 
We e x p ect
 
● Advan ce d ( s c ie n tif ic /n u m eric a l)
​Pyth on
​ p ro gra m min g s k ills
 
● Fir s t e xp erie n ce a n d /o r k ee n i n te re st i n
​Dee p L e arn in g
 
● So lid
​ ​math em atic a l
​ f o und atio ns ( L in ear A lg e b ra , C alc u lu s)
 
● Outs ta n d in g
aca d em ic
perfo rm an ce ,
pra ctic a l
exp erie n ce
an d /o r
extr a cu rric u la r
             
activ it ie s ( e .g . c o ntr ib utio n s t o o pen s o u rc e p ro je cts )
 
● Str u ctu re d
​ w ork s ty le
 
● Willin gn ess t o d efin e a n d f o llo w a t im e p la n w it h f ix e d
​mile sto nes
 
● Com mit m en t t o c o m ple te
​ ​th e
​ p ra ctic a l p art o f t h e p ro je ct
​wit h in
​ 4 m onth s
 
 
We o ffe r
 
● Exp erie n ce d c ra ft w ork s M ach in e L e arn in g E xp ert a s
​in d ustr y a d vis o r
 
● Gettin g t o k n ow
​cu ttin g-e d ge M ach in e a n d D eep L e arn in g p ro je cts
​ f r o m t h e i n sid e
 
● Young,
​dyn am ic
​co m pan y
​ ​wit h f la t h ie ra rc h ie s
 
● Educa tio nal
​ o ppo rtu nit ie s
 
● Com pan y a ctiv it ie s
​ s u ch a s b oard g am es, F IF A t o u rn am en ts a n d s p o rts e ve n ts
 
● The s u cce ssfu l c o m ple tio n o f t h e p ro je ct i s
​re m unera te d w it h E U R 2 ,0 00
 
 
Conta ct
 
Ple ase
se n d
yo ur
CV,
tr a n sc rip ts
of
gra d es,
pro of
of
pra ctic a l
exp erie n ce
(e .g .
le tt e r
of
                           
re co m men d atio n,
“D ie n stz e u gn is ”)
an d
a lin k
to
yo ur
git h ub
re p o sit o ry
(if
av aila b le )
to
                       
[email protected]  

BSc/MSc/Diploma Thesis Project - Unsupervised Deep Learning

Wien
Freelancer / Projektarbeit, Praktikum

Veröffentlicht am 15.03.2019

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