About this document
CNN-Based Image Classification Guide by swaminathanvm3 is a document available to read on EtoBox.
The document outlines a project focused on classifying images using Convolutional Neural Networks (CNNs), highlighting its applications in various fields. It details the use of CIFAR-10 and MNIST datasets, data preprocessing techniques, model design, and achieved a 92% accuracy on the test set. Future enhancements include experimenting with advanced architectures and deploying the model on the web.
- Author
- swaminathanvm3
- Language
- EN