Image Classifier using CNNs on the CIFAR100 Image Dataset
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Updated
Mar 29, 2017 - Jupyter Notebook
Image Classifier using CNNs on the CIFAR100 Image Dataset
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
Convolutional Neural Networks using Tensorflow with Cifar-100 dataset
Experiment consisting in learning error using an explicit generalization loss; implemented in Tensorflow
Regularizing deep networks (for classification)
simple cnn model in keras for classification of CIFAR100 data set
Recognition of images on CIFAR dataset
Recommender systems, 2017-18
QBC research project at Cornell
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
Classification of CIFAR 100 Images - Transfer Learning - ResNet-50
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