This repository contains codes in python to categorize images from CIFAR-10 data set by using Convolutional Neural Network (CNN)

Using neural network binary classification to predict if donations to organizations are successful.

Various applications of deep learning have been demonstrated.

Github repo for ML Specialization course on Coursera. Contains notes and practice python notebooks.

This project involves the use of classical neural networks for the computation of the heat equation with Neumann boundary conditions and a gaussian distribution as initial condition.

An artificial neural network used for distinguishing between signal and continuum B events in Belle II monte carlo based on event topology. Competition submission for Belle II CNN competition, placed 5th with 95% efficiency.

Text Generation

Image classification of handwritten numbers in MNIST dataset.

Image Classification, Python, Feedforward-Neural-Network, Tensorflow, Keras, CNN, ReLu

Spring 2024: CS5720: Neural Network Deep Learning: In Class Programming Assignment-6

A multi-task deep learning model that solves multiple tasks concurrently. Specifically, the model is designed to be effective in multiple contexts (e.g., classification, segmentation, regression) simultaneously.

Deep Learning with python

Comparison of ReLU

Backward pass of ReLU activation function for a neural network.

Breast Cancer Detection using Deep Neural Network: In these project I worked on sklearn datasets and predicted "Malignant" or "Benign" on breast cancer dataset with 94% Accuracy.

This repository summarizes the basic concepts, types and usage scenarios of activation functions in deep learning.

A Pytorch Project with flask API to predict handwritten digits using MNIST Dataset.

Predicting if a patient is diabetic or not by training a classification model using both Logistic regression and Artificial neural networks

Building CNN(Convolutional Neural Network) model