https://github.com/george-nyamao/cifar-10-classification

An image classification app using the CIFAR10 dataset and CNNs. Containerised in Docker.
https://github.com/george-nyamao/cifar-10-classification

cnn-classification docker python3 sgd-optimizer

Last synced: 16 days ago
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An image classification app using the CIFAR10 dataset and CNNs. Containerised in Docker.

• Host: GitHub
• URL: https://github.com/george-nyamao/cifar-10-classification
• Owner: George-Nyamao
• Created: 2020-02-18T13:55:04.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T03:38:15.000Z (about 2 years ago)
• Last Synced: 2023-03-08T23:01:35.281Z (almost 2 years ago)
• Topics: cnn-classification, docker, python3, sgd-optimizer
• Language: Jupyter Notebook
• Homepage:
• Size: 9.72 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 5
• Metadata Files:
  • Readme: README.md

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README

        
# CIFAR-10-classification

## Description

This was done as a project to showcase the knowledge gained after nine weeks of intense training. I chose CIFAR-10 because it gave me an opportunity to work with and increase my knowledge in Deep Learning and CNN in particular.

I used CNNs to build the neural network and added MaxPooling, Dropout, and Dense layers. 

After training the model and obtained an optimum accuracy, I deployed the model on a Docker container before exposing it throw Google Cloud Platform.