https://github.com/kkufieta/image-classification-cifar10

Classify images from the CIFAR-10 dataset
https://github.com/kkufieta/image-classification-cifar10

cnn image-classification jupyter jupyter-notebook

Last synced: 25 days ago
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Classify images from the CIFAR-10 dataset

• Host: GitHub
• URL: https://github.com/kkufieta/image-classification-cifar10
• Owner: kkufieta
• Created: 2017-09-25T11:49:28.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2024-05-03T19:34:15.000Z (9 months ago)
• Last Synced: 2024-05-03T20:57:40.463Z (9 months ago)
• Topics: cnn, image-classification, jupyter, jupyter-notebook
• Language: HTML
• Homepage: https://kkufieta.github.io/image-classification-cifar10/
• Size: 191 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# Image Classification - CIFAR-10

In this project, I classified images from the [CIFAR-10 dataset](https://www.cs.toronto.edu/~kriz/cifar.html) using a convolutional neural network (CNN). 

The dataset consists of airplanes, dogs, cats, and other objects.

The project involved the following steps:

* Preprocessing of the images.

* Training a CNN on all the samples.

* Normalizing the images and one-hot encoding the labels. 

* Building convolutional, max pooling, dropout, and fully connected layers. 

* Testing the predictions on sample images.

The project is implemented in this [jupyter notebook](https://github.com/kkufieta/image-classification-cifar10/blob/master/dlnd_image_classification.ipynb).