Projects for Rice Undergraduate Data Science Summer Program
-
Updated
Jul 21, 2017 - Python
Projects for Rice Undergraduate Data Science Summer Program
A model based on CNN (Convolutional Neural Networks) in order to classify the CIFAR100 dataset, composed by 60,000 32x32 color images labeled over 100 categories.
Label Embedding Network
Experiment consisting in learning error using an explicit generalization loss; implemented in Tensorflow
Regularizing deep networks (for classification)
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
Classification of CIFAR 100 Images - Transfer Learning - ResNet-50
ResNet for CIFAR with Estimator API and tf.keras.Model class
It's a project to apply convolutional neural networks to the problem of image classification from the CIFAR 100 dataset.
Programming assignments from Deep Learning Class (CSE496/896)
Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"
Image classification using CNNs
Add a description, image, and links to the cifar100 topic page so that developers can more easily learn about it.
To associate your repository with the cifar100 topic, visit your repo's landing page and select "manage topics."