Du følger nu
Fejl under følg af bruger.
Denne bruger har ikke tilladt andre bruger at følge dem.
Du følger allerede denne bruger.
Din medlemsskabsplan tillader kun at følge 0. Opgrader her.
Du følger nu ikke længere
Kunne ikke stoppe med at følge bruger.
Du har nu anbefalet
Kunne ikke anbefale bruger.
Noget gik galt. Forny venligst siden og prøv igen.
Email verificeret.
ankara,
turkey
Det er i øjeblikket 8:22 PM her
Tilmeldt juni 5, 2017
0 Anbefalinger
Engin F.
@enginfirat
0,0
0,0
0%
0%
ankara,
turkey
N/A
Jobs færdiggjort
N/A
Indenfor budgettet
N/A
Til tiden
N/A
Genansættelsesrate
Computer Engineer
Kontakt Engin F. omkring dit job
Log ind for at diskutere detaljerne via chat.
Anmeldelser
Ændringer gemt
Ingen anbefalinger at se her!
Uddannelse
Physics, BSc. 2.97
(6 år)
Computer Engineering, BSc. 2.8
(6 år)
Kvalifikationer
Improving Deep Nural Networks, Hyperparameter tuning, Regularization and Optimization
deeplearning.ai
2017
Coursera, https://www.coursera.org/account/accomplishments/verify/DA8C2MBJ3587
Neural Networks and Deep Learning
deeplearning.ai
2017
Coursera, https://www.coursera.org/account/accomplishments/verify/X772BJP5M56P
Machine Learning Foundations: A Case Study Approach
University of Washington
2016
Coursera, https://www.coursera.org/account/accomplishments/verify/8SDYSYFL2ZD6
Publikationer
Modelling, Simulation and Visualization of Vehicle Dynamics
USMOS2011, http://usmos.metu.edu.tr/
In this paper, a software which is aimed for physical modeling, simulation and visualization of a
vehicle is presented. A physical modeling of a vehicle consists of modeling all the components of a
vehicle which affects vehicle dynamics. Hence components called engine, clutch, gear-box,
differential is modeled in the system. Moreover, tire and wheel models, steering wheel box models,
brake models and aerodynamic models of vehicle are implemented in the system.
Multi-view Face Detection with One Classifier for Video Analytics Systems
VAAM 2014, ICPR2014, Springer
In a video analytics for audience measurement system, dwell time, gaze, and opportunity-to-see statistics are required most of the time. To generate these statistics, more than one face detector is used in order to capture both profile and frontal faces. In this paper, we present a novel approach for face detection in video analytics. The assumption is that; the face occurrences are limited in such systems and one classifier is able to capture all of these occurrences.
Comparison of Facial Alignment Techniques with Test Results on Gender Detection Task
VAAM 2014, ICPR2014, Springer
In this paper, different facial alignment techniques are revised in terms of their effects on machine learning algorithms. There is no special reason on selecting gender classification task, any other task could have been chosen. In audience measurement systems, many important demographics, i.e. gender, age, facial expression, can be measured by using machine learning algorithms. Any performance enhancement on any machine learning algorithm becomes important.
Kontakt Engin F. omkring dit job
Log ind for at diskutere detaljerne via chat.
Verifikationer
Bedste færdigheder
Gennemse lignende freelancere
Gennemse lignende fremvisninger
Invitationen blev sendt!
Tak! Vi har sendt dig en e-mail med et link, så du kan modtage din kredit.
Noget gik galt, da vi forsøgte at sende din mail. Prøv venligst igen.
Kopiering til clipboard fejlede. Prøv venligst igen efter justering af dine tilladelser.
Kopieret til udklipsholder.
Indlæser forhåndsvisning
Geolokalisering er tilladt.
Din session er udløbet, og du er blevet logget ud. Log venligst ind igen.