Rule based chat-bot using CNN based on multi class text classification which responds to all queries on Deep Learning class. As a fallback option added generative chat-bot trained on cornell movie dialog corpus using sequence to sequence RNN model.

Use python tensorflow to implement some deep learning algorithm

object detection using the very powerful YOLO model

Did a project on Image Recognition using CNN model for identifying whether a person is suffering from pneumonia or not.

Code repository for understanding machine learning, covering theory, application and internal functionality of supervised, unsupervised and deep learning algorithms.

Udacity/Deep Learning Nano Degree/ Dog Breed Classification

Convolutional Autoencoder for image denoising

Implementation of LeNet DNN Model

Pytorch implementation of VGG achitecture.

With the Covid-19 Pandemic, wearing of the face masks have become mandatory across the globe. Thus, an AI application that would enable the aumomatic detection if a person is wearing mask / or not will be benificial in areas such as automatically controlled (unmanned) entry gates at various places. A camers based application could flag-off perso…

Using Deep Leaning for Image Classification

ARTIFICIAL NEURAL NETWORKS AND DEEP LEARNING

This project involves training Google's MobileNet V2 CNN model on a dataset of masked, incorrectly masked and unmasked images in order to perform face mask detection

Results storage of bike path quality analytics

Musical instrument Detection using Convulational Neural Network

Build up an CNN architecture for Image Classification

It's a simple Convolutional Neural Network about discriminate cifar-100 datasets.

Save humans by detecting and deploying Image Cells that contain Malaria or not!

A Convolutional Neural Network (CNN) is a deep learning algorithm designed for image recognition, using specialized layers to automatically learn features and classify images.

Personal projects on AI and ML