First capstone project I worked on as part of the 'Programming in Python for AI' nanodegree at Udacity.

A Web Application that can Detect Pneumonia from Chest X-ray images.

Spectrums: Optimize GMM params, UI, export palettes, improve clustering accuracy, and add customizable color schemes.

Second project on Udacity Nanodeegre program - Introduction to Python for AI Programmers

minecraft seed finder

Welcome to the DL Projects Repository! This repository hosts a collection of my deep learning projects, showcasing my expertise and contributions in various domains of deep learning. Each project focuses on solving unique challenges using cutting-edge deep learning techniques and architectures.

Convolutional Neural Network to Classify Dogs and Cat. I built a ImageClassifier which classifies and tells you whether its a Dog image or a Cat image. I built a convolutional network which consists of Three Convolution layer and Three MaxPooling layer. Each Convolutional layer has filters, kernel size. Maxpooling layer has stride and pooling si…

Demonstrate GitHub Actions on MNIST Dataset

Train and deploy an image classifier with the TensorFlow framework.

A project to showcase the progress on learnings about DeepLearning.

Image Classification for a City Dog Show

This project is an image classification model built using PyTorch and pretrained networks from torchvision. It allows training, validation, testing, and making predictions on a dataset of images, leveraging a feedforward classifier with a frozen pretrained network.

In this project we will bill build models that can classify handwritten digits.

Multiclass classification of images of cats, dogs and fish

Convolutional Neural Network For Image Classification With PyTorch

Fashion Classifier using CNN in Keras for the fashion_mnist dataset.