https://github.com/simoninithomas/dlfn_image_classification

In this project, you'll classify images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects. The dataset will need to be preprocessed, then train a convolutional neural network on all the samples. You'll normalize the images, one-hot encode the labels, build a convolutional layer, max pool layer, and fully connected layer. At then end, you'll see their predictions on the sample images.
https://github.com/simoninithomas/dlfn_image_classification

classify-images cnn convolutional-neural-networks deep-learning tensorflow

Last synced: about 2 months ago
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In this project, you'll classify images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects. The dataset will need to be preprocessed, then train a convolutional neural network on all the samples. You'll normalize the images, one-hot encode the labels, build a convolutional layer, max pool layer, and fully connected layer. At then end, you'll see their predictions on the sample images.

• Host: GitHub
• URL: https://github.com/simoninithomas/dlfn_image_classification
• Owner: simoninithomas
• Created: 2017-03-29T17:22:00.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2017-03-29T17:22:34.000Z (almost 8 years ago)
• Last Synced: 2023-03-05T14:28:01.521Z (almost 2 years ago)
• Topics: classify-images, cnn, convolutional-neural-networks, deep-learning, tensorflow
• Size: 0 Bytes
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0

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