This project uses a CIFAR dataset-trained convolutional neural network to classify input images, whether it is a pre-processed image from the dataset or a user-supplied image via URL, with the functionality to assign a confidence score to the prediction.

My extensive work on Multiclass Image classification based on Intel image classification dataset from Kaggle and Implemented using Pytorch 🔦

PyTorch implementation of polyloss and cyclic focal loss and their performance with sample dataset/s.

This project is about building a artificial neural network using pytorch library. I am sharing the code and output for my project.

Human Scream Detection and Analysis for Controlling Crime Rate using Machine Learning and Deep Learning

A CNN is a kind of network architecture for deep learning algorithms and is specifically used for image recognition and tasks that involve the processing of pixel data. This repository contains the code for CNN with a categorical classification dataset.

learning python day 11

Using the features in the provided dataset, creating a binary classifier that can predict whether applicants will be successful if funded by Alphabet Soup.

This GitHub laboratory contains PyTorch classification loss functions, Jupyter notebooks, and documentation for researchers and machine learning enthusiasts interested in deep learning and PyTorch.

Modern Information Retrieval Project

A brief explanation on Pytorch CrossEntropyLoss written really quick in Jupyter Notebook.