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.
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
Bird Species Classification Using Transfer Learning
SFA : Small Faces Attention Face Detector, IEEE Access 2019
Covid-19 chest x_rays images multi-class classification while classes are (COVID, Pneumonia, normal)
Implementation of Neural Style Transfer algorithm with pre-trained VGG-16 Network & TensorFlow in Python 3.
A task from Udacity Deep Learning Nanodegree Program, with some basic CNN implementations for study purpose
brain tumor detection system using VGG16 architecture
fine tuning vgg16 and inception v3
Deep Learning Final Project
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.
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