About this document
CNN Model for CIFAR-10 Image Classification by gayatri.jagadale.aids.2021 is a document available to read on EtoBox.
The document outlines an assignment for designing and implementing a Convolutional Neural Network (CNN) for image classification using the CIFAR-10 dataset. It includes steps for importing libraries, preprocessing the dataset, defining the CNN model, training it with various hyperparameters, evaluating its performance, and visualizing results. The final model achieved a test accuracy of approximately 64.96% and includes functionality for predicting classes of new images.
- Author
- gayatri.jagadale.aids.2021
- Language
- EN