https://github.com/abhifuturetech/cnn-imagerecog

Implement different Convolutional Neural Networks (CNN) classifiers using GPU-enabled Tensorflow and Keras API Compare different CNN architectures.
https://github.com/abhifuturetech/cnn-imagerecog

convolutional-neural-networks image-classification keras-api python tensorflow

Last synced: 12 months ago
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Implement different Convolutional Neural Networks (CNN) classifiers using GPU-enabled Tensorflow and Keras API Compare different CNN architectures.

• Host: GitHub
• URL: https://github.com/abhifuturetech/cnn-imagerecog
• Owner: AbhiFutureTech
• License: mit
• Created: 2024-06-08T12:43:40.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-06-11T09:46:18.000Z (about 2 years ago)
• Last Synced: 2025-04-04T21:39:40.310Z (about 1 year ago)
• Topics: convolutional-neural-networks, image-classification, keras-api, python, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 4.9 MB
• Stars: 8
• Watchers: 1
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Image-Classification-using-CIFAR-10-dataset

![small_images (1)](https://github.com/patilabhi20/image_classification/assets/157373320/45056054-847a-4051-905a-227db5b28be5)

The CIFAR-10 Dataset is an important image classification dataset. It consists of 60000 32x32 colour images in 10 classes (airplanes, automobiles, birds, cats, deer, dogs, frogs, horses, ships, and trucks), with 6000 images per class. There are 50000 training images and 10000 test images.

# The GOALS of this project are to:

Implement different Convolutional Neural Networks (CNN) classifiers using GPU-enabled Tensorflow and Keras API Compare different CNN architectures

# Tools:

## GPU-enabled Tensorflow

## Keras API