This project is done while studying Artificial Intelligence Base course at VNUHCM-University of Science. In this project, we learn and build an image classifier from scratch to distinguish cat photos from dog photos. Framework: TensorFlow Model: Deep Neural Network
- Beginner-friendly Project Cat and Dog classification using CNN
- Build a Convnet for Cat vs Dog Classification
- How to Classify Photos of Dogs and Cats (with 97% accuracy)
Using the "Dogs vs. Cats" dataset available on Kaggle, which contains 25,000 images.
Neural network model that contains only the following layers: Convolutional layer, Pooling layer, Fully connected layer.
- Simple software for learning purposes
- Not for any business reason