Face Mask Detection using Convolutional Neural Network
This project implements a deep learning based face mask detection system using a convolutional neural network. The system automatically identifies whether a person is wearing a face mask or not by ana...
CIFAR Object Recognition using ResNet50
This project demonstrates object recognition using deep learning and the ResNet50 architecture. A pre trained convolutional neural network is applied to classify objects from the CIFAR dataset by lear...
Dog vs Cat Classification using Transfer Learning
This project demonstrates an image classification system that distinguishes between dog and cat images using transfer learning. Instead of training a deep learning model from scratch, a pre trained co...
MNIST Digit Classification with Neural Network
This project demonstrates the use of deep learning to classify handwritten digits using the MNIST dataset. A neural network model is trained to recognize digits from zero to nine based on pixel level ...
Processing Image for Deep Learning Applications
This project focuses on preparing image data for deep learning applications. It demonstrates how raw image datasets can be processed transformed and structured to make them suitable for training neura...
Breast Cancer Classification Using Neural Networks
This project demonstrates the use of deep learning techniques to classify breast cancer tumors as malignant or benign using clinical diagnostic data.
A neural network model is trained on real medical ...
Perceptron for Diabetes Prediction from Class File
This notebook focuses on implementing a perceptron model to predict diabetes outcomes using patient medical data. The code demonstrates the complete flow starting from data handling to model training ...
Implementing a Perceptron for Diabetes Prediction
Machine learning plays a crucial role in early disease detection by identifying patterns hidden in medical data. One of the simplest yet most powerful concepts behind many predictive models is the per...
Building a Perceptron from Scratch
The perceptron is one of the most important building blocks in machine learning and neural networks. It represents the simplest form of an artificial neuron and helps us understand how machines learn ...
