You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi! I’m Aniq Usman, 11 years old. Using Deep Learning and Python, I built a convolutional neural network that can classify images into two categories: cat or dog. Feel free to suggest improvements and share my code so others can learn to code too!
A collection of Streamlit-based applications showcasing deep learning in action, including movie recommendations, disease detection, and image classification. Pre-trained models and datasets are hosted on Google Drive for seamless integration.
This repository is best fit to get started with pytorch. It contains notebooks with implementation of cat and dog classifiers in simple using ANN (CNN). Purpose is to get the basic understanding of pytorch with training and validation and dataset class implementations don't mind the accuracy.
A deep learning project using the Tensorflow and Keras libraries with the Convolutional Neural Network method. This development allows us to detect whether the entered image is a cat or a dog.