- A Shallow CNN for COVID-19 Detection using Preprocessed CXR Images It is a convolutional neural network which classifies chest x-rays images as if they are COVID-19 positive or not. Chest x-ray images firstly preprocessed with a max-min normalizator and contrast limited adaptive histogram equalizator, and then fed into the network. The accuracy results on the test dataset with 128x128 images
- Super Resolution with Generative Adversarial Networks he research conducted by looking into state-of-art papers, examing the propsed methodology, and the outcomes they recieved. State of Art Studies In this section, I'll give brief bullet points on the outcomes of the papers given in the titles. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network by Ledig
- Basic Logic Gates in Perceptrons Perceptrons are the mathematical implementation of a neuron, which has n inputs, and one output. In this article, I'm going to show you examples of logic gates in binary-output perceptrons. Binary perceptrons have a step function activation layer. Note: The gates that we'll investigate has only two inputs. The tester
- Perceptron and Binary Classification in MATLAB One can find the explaination in the file if you prefer more texty stuff. Perceptron and Binary Classification in MATLAB GokhanKocmarli-LaboratoryOne.pdf 530 KB download-circle Explain Me with Code! % Prepare the environment. clear; clc; % Load the enviromental variables. load("LAB1_Data.mat"); % Choose the data respecting to you. data = zesp_