Age and Gender Estimation Using Convolutional Neural Network

Pre-trained VGG-Net Model for image classification using tensorflow

Modified version of U-net based on "Convolutional Networks for Biomedical Image Segmentation (Ronneberger et al., 2015)" paper.

Breast Cancer classification of INbreast dataset Mammograms with VGG-16 and SVM in hybrid setting using transfer learning.

Leveraging Transfer Learning on the classic CIFAR-10 dataset by using the weights from a pre-trained VGG-16 model.

Udacity Machine Learning Engineer Nanodegree Capstone Project : Dog breed classification using Convolutional Neural Networks

Neural Style Transfer Algorithm

Age-invariant face recognition based on deep features analysis

SFA : Small Faces Attention Face Detector, IEEE Access 2019

Bird Species Classification Using Transfer Learning

Implementation of Neural Style Transfer algorithm with pre-trained VGG-16 Network & TensorFlow in Python 3.

Covid-19 chest x_rays images multi-class classification while classes are (COVID, Pneumonia, normal)

A task from Udacity Deep Learning Nanodegree Program, with some basic CNN implementations for study purpose

brain tumor detection system using VGG16 architecture

Utilizes TensorFlow framework to train ResNet-50, VGG-16, and custom CNN models for accurately classifying forest fire images, aiding in early detection and mitigation efforts.

fine tuning vgg16 and inception v3

IEEE envision project

Deep Learning Final Project