Computer Vision using TensorFlow, PyTorch and MatLab
Consists of Deep Learning Architectures like AlexNet, VGGNet and ZFNet.
Learning and Practicing Image Classification using different methods in Matlab and Python.
Learning and Implementation of Object Detection.
Learning Neural Style Transfer
Removing Noise from Images of Dimensions (256,256,3) using Denoising AutoEncoder.
Cleaning Documents using Denoising AutoEncoder.
Detection of Social Distancing using YOLOv3.