This model develops an accurate system for classifying retinal images to assist in early detection and management of eye conditions.
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Updated
Mar 25, 2024 - Jupyter Notebook
This model develops an accurate system for classifying retinal images to assist in early detection and management of eye conditions.
This project focuses on the task of image classification using datasets sourced from Kaggle. The primary goal of this repository is to evaluate the performance of two neural network architectures, AlexNet and VGG16, and to draw comparisons between these methods.
AlexNet Research
This Archieve will have models architectures
CNN class with alexnet, VGG-net and Resnet-34 architectures
Python code for Neuromatch Academy's Summer 2021 Computational Neuroscience final project, exploring the correspondence between Alexnet layers and visual cortex hierarchy using fwRF encoding models and fMRI response prediction.
Page with angular to visualize pathogens found in plants with convolutional neural networks.
So, Image classification techniques are the basic of object detection So, In this Repository only contain the Image Classification problems and Transfer learning Network frame Work
Dog Breed Classification (Project done under Udacity)
Apply machine learning to find top 10 similar images from a gallery folder given a query image.
This repository contains a classification model made by Matlab for Diabetic Retinopathy Detection.
In this repo, I implemented VGGNet, MobileNet and AlexNet and compared their performance on Emotion Detection Task using AffectNet dataset.
A MATLAB based model which uses transfer learning to train a deep network that can detect if a roundworm is dead or alive by processing microscoping image.
Code and reports of the two homework for the Machine Learning course (Winter 2020)
AlexNet Model Testing In A Vast Dataset for Kurdish Digits and Isolated Characters Recognition
Team4's source code for Computer Vision course that implement some image classification models
A Model which can be used to detect Disease of different Variety of Plants. AlexNet Model is used for the same process. It has the test accuracy of 94.8.%
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