dogs-vs-cats-classification. Dogs vs. Cats Classification is a project focused on the image classification task of distinguishing between dog and cat images using Convolutional Neural Networks (CNNs). This repository implements advanced deep learning techniques to preprocess data, train models, and evaluate performance on this classic image recognition problem

github.com/JordiCorbilla/dogs-vs-cats-classification

Vaya's read on this project

Problem, audience, market, and the verdict — sign in to see it.

Updates

No recent activity.