CNN based CIFAR-10 Image Classifier using All-CNN (YGNet) architecture (90% accuracy) and LeNet-5 architecture (74% accuracy)
-
Updated
Mar 8, 2021 - Jupyter Notebook
CNN based CIFAR-10 Image Classifier using All-CNN (YGNet) architecture (90% accuracy) and LeNet-5 architecture (74% accuracy)
CNN for object recognition, this All-CNN obtained state-of-the-art performance at object recognition on the CIFAR-10 image dataset (2015).
Object Recognition Using All CNN Network
Add a description, image, and links to the all-cnn topic page so that developers can more easily learn about it.
To associate your repository with the all-cnn topic, visit your repo's landing page and select "manage topics."