Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
Tool for Evaluating Deep Learning Models in Histopathological Image Analysis - A MATLAB-based User Interface [Tentative Version]
The current project introduces a script building a stacked learning ensemble, containing a single multilayered ANN (meta-learner) trained using the predictions of a number of ANNs (Level-0 learners).
recognize soft drinks/soda with (MATLAB) DeepLearning
The aim of project is detecting the type of disease eye suffers from by using fundus images. The majority of the identification models in use exclusively concentrate on one particular ocular disease. Therefore, My goal was to create a model for automatically classifying many ocular diseases using fundus photos as input and reporting disease type.
Soft Computing Matlab
Human Activity Recognition using Deep Learning on Spatio-Temporal Graphs
Official Implementation of our paper on Cell Tracker Algorithm for NPC Cell maturation profile understanding.
The focus of this coursework is to assess your understanding of unsupervised machine learning techniques. You are required to write MATLAB code to implement the Kmeans clustering algorithm. This is an extension of Lab 3 on Kmeans clustering.
Multiple Representation DeepInsight technique
Image Processing (include conventional machine learning and deep learning methods) on MR images to classify Liver Fibrosis Stage
This MATLAB project fine tunes a pretrained deep learning model (RCNN) to detect stop signs in images
My solutions to UFLDL Tutorial (http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial)
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
previous research on gravity compensation using neural networks
Forest type predictor trained on NDVI data using a feed forward Neural Network
Make & Train Network using Matlab(Deep Neural Network Toolbox)
A Seizure Classification LSTM model has been created using Matlab. Research conducted in Professor Woodhall's lab at Aston University obtained the local field potentials of epileptic and control rats used in this deep learning project.
Personal projects/ Pet projects built by bare bone implementation of ml and dl algorithms and models in MATLAB
A project for aircraft image feature extraction and classification using the VGG16 model. It includes 20 different military aircraft classes.