Deep Learning: Face Mask Detection using Convolutional Neural Networks (CNN) is a computer vision application that leverages the power of deep learning techniques to identify whether individuals in images or video frames are wearing face masks or not...
CIFAR-10 Object Recognition using ResNet-50 is a machine learning task that involves using the CIFAR-10 dataset and the ResNet-50 deep learning architecture to classify 32x32-pixel color images into one of ten object categories. The goal is to build ...
The task of classifying images of dogs and cats using deep learning techniques has become quite an essential example in the field of computer vision and machine learning. This challenging problem showcases the power of deep neural networks in disting...
The MNIST Handwritten Digit Classification is a widely recognized and foundational machine learning dataset and task. It serves as a benchmark for evaluating the performance of various image classification algorithms, particularly in the field of com...
Breast cancer classification using deep learning is a computer-aided diagnostic approach that leverages the power of deep neural networks to analyze medical images (usually mammograms or breast biopsies) and assist in the early detection and classifi...
Parkinson’s disease is a progressive disorder of the central nervous system affecting movement and inducing tremors and stiffness. It has 5 stages to it and affects more than 1 million individuals every year in India. This is chronic and has no cure ...