Hand Written Digit Classification Using CNN File: Hand Written Digit Classification Using CNN.ipynb
Description: This project demonstrates the classification of hand-written digits using a Convolutional Neural Network (CNN). The model is trained on the MNIST dataset, which consists of 28x28 grayscale images of digits from 0 to 9.
Technologies Used: Python, TensorFlow/Keras, CNN, MNIST Dataset
- News Classification using Natural Language Processing File: News Classification using Natural Language.ipynb
Description: This project focuses on classifying news articles into different categories using Natural Language Processing (NLP) techniques. The model is trained on a dataset of news articles and their corresponding labels.
Technologies Used: Python, Scikit-learn, NLP, Text Classification
- Recognition Of Objects with Convolutional Neural Network File: Recognition Of Objects with Convolutional Neural Network.ipynb
Description: This project involves the recognition of objects in images using a Convolutional Neural Network (CNN). The model is trained on a dataset of images containing various objects, and it learns to classify these objects accurately.
Technologies Used: Python, TensorFlow/Keras, CNN, Image Classification