An application that shows which class the images given to the model created by processing a data set with deep learning belong to.
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Updated
Mar 31, 2024 - MATLAB
An application that shows which class the images given to the model created by processing a data set with deep learning belong to.
Alzheimer's Disease Classification Research performed at University of Cagliari in 2020.
MatLab CNN classification model for P300 event detection in Autism for VR/ AR headsets.
DeepInsight3D package to deal with multi-omics or multi-layered data
P300 Classification for EEG-based BCI system with Bayes LDA, SVM, LassoGLM and a Deep CNN methods
A Fuzzy Evolutionary Deep Leaning
Vehicle Detection based on Faster R-CNN
Hand-written digit recognition on MNIST dataset
Faster Region Convolutional Neural Network using pretrained ResNet50 Model MATLAB- Detects and classify Multiple Myeloma (MM) and B-lineage Acute Lymphoblastic Leukemia (B-ALL).
MATLAB codes to detect vehicles from images
Testing - What can be done with Fisherfaces
Computer Vision techniques on Photmetric Stereoand Color, Neighborhood Processingand Filters, Harris Corner Detector and Optical Flow, Image Alignment and Stitching, Bag-of-Words and CNNs for Image Classification.
CNN MATLAB implementation (including training and forward propagation) to clasifify the MNIST handwritten numbers.
The repository implements the a simple Convolutional Neural Network (CNN) from scratch for image classification. I experimented with it on MNIST digits and COIL object dataset.
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