Pinned Repositories
Urban_Sound_Classification_GlobalAiHub_KocHolding_FinalProject
CNN-Course-Object-Detection
I have been completed these assignments in the course I have taken which is about to detect objects.
CNN_Based_Tic_Tac_Toe
I have improved tic_tac_toe with convolutional neural network approach. I have explained the details deeply in https://medium.com/@ozanbenim/tic-tac-toe-bot-with-convolutional-neural-network-a4d8b6d87a3a
Data-Airline-Analysis
The analysis of the database which is taken from the kaggle (data belongs to an airline company which doesn't want to tell its name). Source: https://www.kaggle.com/datasets/sjleshrac/airlines-customer-satisfaction . I applied logistic regression to proceed this analysis.
Firma-React-Odevleri
React ödevlerinin bulunduğu repository
First-Neural-Network-Project-Tic-Tac-Toe
My first neural network project. I know it is beginning and there are probably some approach problems :)
Global-AI-Hub-Neural-Networks
Neural network projects I have done in the self paced courses of bootcamp.
Internship-Project
I developed this project for my mandatory internship at the university in the Pusula Corporate Business Solutions
Manually-Created-Face-Recognition-Model
I have created an algorithm similar to FaceNet (not as completely same as FaceNet because of the GPU limitations) , optimized it and used it. This algorithm is tested for only one person but if you want, you can use more than one positive and anchor values to train the network. Dataset: https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
Urban-Sounds-Classification-Deep-Learning
I applied CNN algorithms in order to classify the sounds in the cities with splitting data into train, validation, and test sets with percantages of %80 train, %10 validation and %10 test. Note: Due to Github's file size limit, I couldn't upload original dataset
logicdeveloperTR's Repositories
logicdeveloperTR/CNN_Based_Tic_Tac_Toe
I have improved tic_tac_toe with convolutional neural network approach. I have explained the details deeply in https://medium.com/@ozanbenim/tic-tac-toe-bot-with-convolutional-neural-network-a4d8b6d87a3a
logicdeveloperTR/CNN-Course-Object-Detection
I have been completed these assignments in the course I have taken which is about to detect objects.
logicdeveloperTR/Data-Airline-Analysis
The analysis of the database which is taken from the kaggle (data belongs to an airline company which doesn't want to tell its name). Source: https://www.kaggle.com/datasets/sjleshrac/airlines-customer-satisfaction . I applied logistic regression to proceed this analysis.
logicdeveloperTR/Firma-React-Odevleri
React ödevlerinin bulunduğu repository
logicdeveloperTR/First-Neural-Network-Project-Tic-Tac-Toe
My first neural network project. I know it is beginning and there are probably some approach problems :)
logicdeveloperTR/Global-AI-Hub-Neural-Networks
Neural network projects I have done in the self paced courses of bootcamp.
logicdeveloperTR/Internship-Project
I developed this project for my mandatory internship at the university in the Pusula Corporate Business Solutions
logicdeveloperTR/Manually-Created-Face-Recognition-Model
I have created an algorithm similar to FaceNet (not as completely same as FaceNet because of the GPU limitations) , optimized it and used it. This algorithm is tested for only one person but if you want, you can use more than one positive and anchor values to train the network. Dataset: https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
logicdeveloperTR/Urban-Sounds-Classification-Deep-Learning
I applied CNN algorithms in order to classify the sounds in the cities with splitting data into train, validation, and test sets with percantages of %80 train, %10 validation and %10 test. Note: Due to Github's file size limit, I couldn't upload original dataset