Cats vs dogs classification using deep learning. Data augmentation and convolutional neural networks.
-
Updated
Nov 25, 2020 - Jupyter Notebook
Cats vs dogs classification using deep learning. Data augmentation and convolutional neural networks.
Repository for a deep learning model that classifies images as either cats or dogs using deep learning techniques. The model is trained on a diverse dataset and achieves high accuracy in distinguishing between these two popular pet categories. Includes pre-processing scripts, model architecture, and evaluation metrics for seamless implementation
use CNN / DNN to classify the label of the image (cat/dog); image argumentation / transfer learning -> 95% accuracy or above
Neural Network for Cats vs Dogs Classification. Created in May 2020.
Image classification of cats and dogs
Add a description, image, and links to the cats-vs-dogs-classification topic page so that developers can more easily learn about it.
To associate your repository with the cats-vs-dogs-classification topic, visit your repo's landing page and select "manage topics."