This project demonstrates different retry strategies for handling message processing failures in RabbitMQ using Spring Boot.

This project is an e-commerce example which was built using Next JS 13.5 with server component and server actions. For styling Tailwind CSS and DasiyUI, for data storage MongoDB and for connection …

This is short term extrapolation.

RNN is used to predict future output for sequence

I used pretrained VGG16 model to classify stl10 data

Emnist model is edited for mnist dataset.

I used mnist model for fmnist.

~78% Success

I increase performance of emnist using more channels and regularization.

it is my base project, I will improve it.

I implemented L1, L2 and Correlations Loss functions.

Eliminate occlusion with CNN AE

Different unit number on FC Layers in CNN. I worked on GPU

In previously project I add some new thihng to get feature maps, and determine correlations between these maps.

I create two different types of images using gauss formula. Their major difference is sigma value in formula. Then I classify with CNN.

CNN architecture is used to classification on mnist dataset.

I implemented UCS in python for cities in Turkey.

Using Tensorflow, OpnenCV

In this project Haar Cascade used for face detection and opencv face recognizer used for face recognition.

Made some transformation on the CIFAR dataset with torchvision

Made pooling with PyTorch and created simple CNN model.

I use PyTorch Conv2d class for this project.

I use two different library for image convolution. (PyTorch and Numpy)

I run this model on the GPU in Google Colab

Used AEs on MNIST dataset to remove occulision.